RUN experiments¶
In this notebook, we will run all the required experiments using the Experiment class, which can be found at sscode/experiment.py, and can be seen below:
class Experiment(object):
"""
This class Experiment summarizes all the previous work done with the linear and the
knn models, as this class allows the user to perform a detailed analysis of one
requested model given a set of parameters
"""
def __init__(self, slp_data, wind_data, ss_data, # this must have several stations
sites_to_analyze: list = list(np.random.randint(10,1000,5)),
model: str = 'linear', # this is the model to analyze
model_metrics: list = [
'bias','si','rmse','pearson','spearman','rscore',
'mae', 'me', 'expl_var', # ...
], # these are the metrics to evaluate
pca_attrs: dict = pca_attrs_default,
model_attrs: dict = linear_attrs_default):
"""
As the initializator, the __init__ funciton creates the instance of the class,
given a set of parameters, which are described below
Args:
slp_data (xarray.Dataset): These are the sea-level-pressure fields, previously
loaded with the Loader class, loader.predictor_slp!!
wind_data (xarray.Dataset): These are the wind fields, previously
loaded with the Loader class, loader.predictor_wind!!
ss_data (xarray.Dataset): This is the storm surge from the moana hindcast, previously
loaded with the Loader class, loader.predictand!!
sites_to_analyze (list, optional): This is the list with all the moana v2
hindcast locations to analyze. Defaults to random locations.
model (str, optional): Type of model to analyze. Defaults to 'linear'.
model_metrics (list, optional): These are all the evaluation metrics that might
be used to evaluate the model performance. Defaults to simple list.
pca_attrs (dict, optional): PCA dictionary with all the parameters to use.
Defaults to pca_attrs_default.
model_attrs (dict, optional): Model dictionary with all the parameters to use.
Defaults to linear_attrs_default.
"""
# lets build the experiment!!
where it can be seen how, given the sea-level-pressure / wind data, the storm surge (it is preferable to use the Moana v2 hindcast nearshore), all the individual sites to analyze, the type of model that will be used (with its evaluation metrics), and the PCA attributes and the MODEL attributes that will be used to calculate the model.
Given these parameters, we construct the object of the class, and then running execute_cross_model_calculations, we can perform all the experiments given the possible combinations!!
Warning
Be careful with the “curse of dimensionality”, as it seems very easy to add more options for the parameters of the models, but once we have more than 3-4 parameters with 2-3 different values, the number of models that will be performed can increase to hundreds!!
Below, different code cells with imports, loading functions, visualizations… will appear, but thw worflow is similar to all the notebooks in the repository. Once we load the data, we use the pre-built python classes to generate results!!
# basics
import os, sys
# arrays
import numpy as np
import xarray as xr
# append sscode to path
sys.path.insert(0, '..')
# data_path = '/data' #'/data/storm_surge_data/'
# os.environ["SSURGE_DATA_PATH"] = data_path
# custom
from sscode.config import default_location, \
default_region, default_region_reduced, default_evaluation_metrics
from sscode.data import Loader
from sscode.experiment_new import Experiment
# warnings
import warnings
warnings.filterwarnings('ignore')
# for autocomplete code
%config Completer.use_jedi = False
DATA PATH /home/javitausia/Documentos/geocean-nz-ss/data
Load the data, SLP and SS¶
Below, we load the slp fields and the Moana v2 hindcast data nearshore. Have three things in mind:
First, the winds are NOT loaded, as we prefer to calculate the gradient of the slp fields. Having in mind that winds have more resolution (more computation is required) and the fact that we are playing around with projected winds, adds this new calculation to each step (and the Loader class is calculated outside the class Experiment, so the projedted winds are calculated just to one location).
The
plotparameter is set toFalse, but can be set toTrueif all the plots are wanted to be seen.The Moana v2 hindcast nearshore is used, and although the gridded netCDF data can be used, which includes ss data all over the New Zealand region, the data might be transformed to
dim=siteinside the dataset, as we did in previous notebooks.
# load the data
load_cfsr_moana_uhslc = Loader(
data_to_load=['cfsr','moana','uhslc'], plot=False,
time_resample='1D', load_winds=True
)
loading the sea-level-pressure fields...
loading daily resampled data...
loading and plotting the UHSLC tidal guages...
Create / Run – Experiment object¶
In the two cells below, we first choose all the values that will have the different parameters for the model that will be used, and then we create the instance of the class Experiment, where different logs will appear before running all the models.
# experiment attributes
# ---------------------
sites_to_analyze = np.unique( # closest Moana v2 Hindcast to tidal gauges
[ 689,328,393,1327,393,480,999,116,224,1124,949,708, # UHSLC
1296,378,1124,780,613,488,1442,1217,578,200,1177,1025,689,949,224,1146, # LINZ
1174,1260,1217,744,1064,1214,803,999 # OTHER (ports...)
]
)
sites_to_analyze = np.arange(
len(load_cfsr_moana_uhslc.predictand.site.values)
)[::5]
pca_attrs_exp = {
'calculate_gradient': [True],
'winds': [True],
'time_lapse': [3], # 1 equals to NO time delay
'time_resample': ['1D'], # 6H and 12H available...
'region': [('local',(2.5,2.5))]
}
linear_attrs_exp = {
'train_size': [0.7], 'percentage_PCs': [0.98]
}
knn_attrs_exp = {
'train_size': [0.7], 'percentage_PCs': [0.98],
'k_neighbors': np.arange(1,50,1) # None calculates the optimum k-neighs
}
xgboost_attrs_exp = {
'train_size': [0.7], 'percentage_PCs': [0.98],
'n_estimators': [50], 'max_depth': [10,12],
'min_samples_split': [0.04,0.06],
'learning_rate': [0.1], 'loss': ['ls'] # more could be added
}
Note
Please check Experiment logs before running execute_cross_model_calculations()!!
# create the experiment
experiment = Experiment(
load_cfsr_moana_uhslc.predictor_slp,
load_cfsr_moana_uhslc.predictor_wind,
load_cfsr_moana_uhslc.predictand, # all the sites are passed to exp at first
sites_to_analyze=sites_to_analyze,
model='knn', # model that will be used to predict
model_metrics=default_evaluation_metrics,
pca_attrs=pca_attrs_exp,
model_attrs=knn_attrs_exp
)
The model has been correctly initialized with || model = knn ||
and model evaluation metrics = ['bias', 'si', 'rmse', 'rel_rmse', 'pearson', 'rscore', 'ext_rmse', 'ext_rel_rmse', 'ext_pearson', 'pocid', 'tu_test', 'expl_var', 'nse', 'kge', 'kgeprime', 'ext_nse', 'ext_kge', 'ext_kgeprime']
pca_params = {'calculate_gradient': [True], 'winds': [True], 'time_lapse': [3], 'time_resample': ['1D'], 'region': [('local', (2.5, 2.5))]}
model_params = {'train_size': [0.7], 'percentage_PCs': [0.98], 'k_neighbors': array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34,
35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])}
which makes a total of 49 iterations as there are (1, 1, 1, 1, 1, 1, 1, 49) values for each parameter
the experiment will be performed in sites = [ 0 5 10 15 20 25 30 35 40 45 50 55 60 65
70 75 80 85 90 95 100 105 110 115 120 125 130 135
140 145 150 155 160 165 170 175 180 185 190 195 200 205
210 215 220 225 230 235 240 245 250 255 260 265 270 275
280 285 290 295 300 305 310 315 320 325 330 335 340 345
350 355 360 365 370 375 380 385 390 395 400 405 410 415
420 425 430 435 440 445 450 455 460 465 470 475 480 485
490 495 500 505 510 515 520 525 530 535 540 545 550 555
560 565 570 575 580 585 590 595 600 605 610 615 620 625
630 635 640 645 650 655 660 665 670 675 680 685 690 695
700 705 710 715 720 725 730 735 740 745 750 755 760 765
770 775 780 785 790 795 800 805 810 815 820 825 830 835
840 845 850 855 860 865 870 875 880 885 890 895 900 905
910 915 920 925 930 935 940 945 950 955 960 965 970 975
980 985 990 995 1000 1005 1010 1015 1020 1025 1030 1035 1040 1045
1050 1055 1060 1065 1070 1075 1080 1085 1090 1095 1100 1105 1110 1115
1120 1125 1130 1135 1140 1145 1150 1155 1160 1165 1170 1175 1180 1185
1190 1195 1200 1205 1210 1215 1220 1225 1230 1235 1240 1245 1250 1255
1260 1265 1270 1275 1280 1285 1290 1295 1300 1305 1310 1315 1320 1325
1330 1335 1340 1345 1350 1355 1360 1365 1370 1375 1380 1385 1390 1395
1400 1405 1410 1415 1420 1425 1430 1435 1440 1445]
RUN CELL BELOW if this information is correct!!
Note
Once the instance of the class is well created, lets run all the models running the cell below
# run all the models
exp_parameters, exp_mean_parameters, final_stats = experiment.execute_cross_model_calculations(
verbose=True, plot=False # plot logs when computing the models
)
---------------------------------------------------------
Experiment 1 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.66, 0.37)
NSE = [0.37043768], KGE = [0.64714023] and KGE_PRIME = [0.6554873]
R score: 0.37 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.53)
NSE = [0.5335571], KGE = [0.68871433] and KGE_PRIME = [0.70285217]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58851026], KGE = [0.68546107] and KGE_PRIME = [0.7069116]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60861537], KGE = [0.67985024] and KGE_PRIME = [0.69409093]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.6262896], KGE = [0.67450115] and KGE_PRIME = [0.69314251]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63274189], KGE = [0.66733055] and KGE_PRIME = [0.68622096]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63600221], KGE = [0.66217652] and KGE_PRIME = [0.68131569]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63794442], KGE = [0.6566963] and KGE_PRIME = [0.6742915]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64274466], KGE = [0.65299263] and KGE_PRIME = [0.67226417]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64530684], KGE = [0.6495744] and KGE_PRIME = [0.67129948]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64799429], KGE = [0.6469767] and KGE_PRIME = [0.66660662]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64938283], KGE = [0.64426771] and KGE_PRIME = [0.66304406]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65079936], KGE = [0.64188378] and KGE_PRIME = [0.65954018]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65225852], KGE = [0.63923135] and KGE_PRIME = [0.65873456]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65278022], KGE = [0.63588189] and KGE_PRIME = [0.65690522]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65584575], KGE = [0.63481134] and KGE_PRIME = [0.65734868]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65713339], KGE = [0.63375634] and KGE_PRIME = [0.65754555]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65884271], KGE = [0.63203839] and KGE_PRIME = [0.65556704]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65859892], KGE = [0.63009643] and KGE_PRIME = [0.65429302]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65796704], KGE = [0.62792813] and KGE_PRIME = [0.65280601]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65777568], KGE = [0.625953] and KGE_PRIME = [0.65246417]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65771261], KGE = [0.62344351] and KGE_PRIME = [0.65026584]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65688522], KGE = [0.62076607] and KGE_PRIME = [0.64837181]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65731377], KGE = [0.61864356] and KGE_PRIME = [0.64866478]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65817458], KGE = [0.6183741] and KGE_PRIME = [0.64733158]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65858475], KGE = [0.61689374] and KGE_PRIME = [0.64542686]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65751899], KGE = [0.61455094] and KGE_PRIME = [0.64375795]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65758952], KGE = [0.61277383] and KGE_PRIME = [0.64264397]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65643345], KGE = [0.6104297] and KGE_PRIME = [0.64108939]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.6569976], KGE = [0.60915778] and KGE_PRIME = [0.63899978]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65656492], KGE = [0.60753217] and KGE_PRIME = [0.63764092]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65713682], KGE = [0.60664681] and KGE_PRIME = [0.63691169]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.6565275], KGE = [0.60439688] and KGE_PRIME = [0.63590806]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65702353], KGE = [0.60330153] and KGE_PRIME = [0.6358426]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65648579], KGE = [0.60182711] and KGE_PRIME = [0.63438742]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65581626], KGE = [0.59994921] and KGE_PRIME = [0.63330689]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65545162], KGE = [0.59807742] and KGE_PRIME = [0.63242667]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65492397], KGE = [0.59649966] and KGE_PRIME = [0.6317702]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65472018], KGE = [0.5954814] and KGE_PRIME = [0.63128811]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.6545617], KGE = [0.59418358] and KGE_PRIME = [0.63010281]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65465299], KGE = [0.5930873] and KGE_PRIME = [0.62937536]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65499665], KGE = [0.5921088] and KGE_PRIME = [0.62865879]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.6540522], KGE = [0.59070904] and KGE_PRIME = [0.62721296]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65327462], KGE = [0.58954078] and KGE_PRIME = [0.62591935]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65308984], KGE = [0.5885171] and KGE_PRIME = [0.62439436]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65230231], KGE = [0.58723782] and KGE_PRIME = [0.62317638]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65182195], KGE = [0.5862069] and KGE_PRIME = [0.6229069]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65105289], KGE = [0.58501327] and KGE_PRIME = [0.62212732]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 0 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', 'None', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_None_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65157694], KGE = [0.58432512] and KGE_PRIME = [0.62202879]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.66, 0.36)
NSE = [0.35553519], KGE = [0.63974102] and KGE_PRIME = [0.6476918]
R score: 0.36 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.53649386], KGE = [0.68824638] and KGE_PRIME = [0.70556501]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58615365], KGE = [0.68027717] and KGE_PRIME = [0.70538131]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60641584], KGE = [0.6802207] and KGE_PRIME = [0.70301418]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61704284], KGE = [0.66896718] and KGE_PRIME = [0.6902455]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62457967], KGE = [0.66251013] and KGE_PRIME = [0.68487476]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.6326765], KGE = [0.65707967] and KGE_PRIME = [0.67820763]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63513894], KGE = [0.65250193] and KGE_PRIME = [0.67345681]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63966856], KGE = [0.64920942] and KGE_PRIME = [0.67246408]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64201188], KGE = [0.64584011] and KGE_PRIME = [0.66841057]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64610747], KGE = [0.64342491] and KGE_PRIME = [0.66526225]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64969163], KGE = [0.6420778] and KGE_PRIME = [0.66407328]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64963141], KGE = [0.63899955] and KGE_PRIME = [0.66213181]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65139817], KGE = [0.63591977] and KGE_PRIME = [0.65896532]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65262354], KGE = [0.63343978] and KGE_PRIME = [0.65577481]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65344456], KGE = [0.62966658] and KGE_PRIME = [0.65249762]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65482491], KGE = [0.6276069] and KGE_PRIME = [0.6524466]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65491127], KGE = [0.62501686] and KGE_PRIME = [0.65327997]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65402185], KGE = [0.623546] and KGE_PRIME = [0.6525301]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65541207], KGE = [0.62329276] and KGE_PRIME = [0.65232178]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.6561779], KGE = [0.62212636] and KGE_PRIME = [0.65247532]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65559247], KGE = [0.61977914] and KGE_PRIME = [0.6516109]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65451936], KGE = [0.61687381] and KGE_PRIME = [0.64693617]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65486754], KGE = [0.61498809] and KGE_PRIME = [0.6461305]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65520375], KGE = [0.61279353] and KGE_PRIME = [0.64568262]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65634972], KGE = [0.61263724] and KGE_PRIME = [0.64498106]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65637465], KGE = [0.61131194] and KGE_PRIME = [0.64281223]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65517287], KGE = [0.60919089] and KGE_PRIME = [0.64041132]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65516564], KGE = [0.6072343] and KGE_PRIME = [0.63885799]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65436531], KGE = [0.60472674] and KGE_PRIME = [0.63781491]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65433206], KGE = [0.60278101] and KGE_PRIME = [0.63602618]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65375185], KGE = [0.60092844] and KGE_PRIME = [0.63540431]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65310178], KGE = [0.59915461] and KGE_PRIME = [0.63546331]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65343969], KGE = [0.59763299] and KGE_PRIME = [0.63422882]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65321501], KGE = [0.59538793] and KGE_PRIME = [0.63307027]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65300109], KGE = [0.59423997] and KGE_PRIME = [0.63245982]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65218623], KGE = [0.59256715] and KGE_PRIME = [0.63012503]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65182236], KGE = [0.59114496] and KGE_PRIME = [0.62904543]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65206609], KGE = [0.58983462] and KGE_PRIME = [0.62804892]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.651715], KGE = [0.58835275] and KGE_PRIME = [0.62746104]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65176677], KGE = [0.58735697] and KGE_PRIME = [0.62642122]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65102095], KGE = [0.58593135] and KGE_PRIME = [0.62502104]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65077344], KGE = [0.58490722] and KGE_PRIME = [0.62365199]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65015559], KGE = [0.58352626] and KGE_PRIME = [0.62270632]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64933968], KGE = [0.58207217] and KGE_PRIME = [0.62126533]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64883289], KGE = [0.58146927] and KGE_PRIME = [0.62020708]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64870281], KGE = [0.5805127] and KGE_PRIME = [0.61939991]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64862683], KGE = [0.57939522] and KGE_PRIME = [0.61899409]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 5 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '5', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_5_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64845602], KGE = [0.57863496] and KGE_PRIME = [0.6184808]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.66, 0.35)
NSE = [0.35475441], KGE = [0.64022574] and KGE_PRIME = [0.6478979]
R score: 0.35 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.53531646], KGE = [0.68706612] and KGE_PRIME = [0.70513271]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58721972], KGE = [0.68095119] and KGE_PRIME = [0.7066712]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60780061], KGE = [0.68067073] and KGE_PRIME = [0.70361225]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61690945], KGE = [0.66851986] and KGE_PRIME = [0.69201264]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62493804], KGE = [0.66220939] and KGE_PRIME = [0.68520903]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63205463], KGE = [0.65660018] and KGE_PRIME = [0.67813151]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63508161], KGE = [0.65164935] and KGE_PRIME = [0.67294779]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63924411], KGE = [0.64873905] and KGE_PRIME = [0.67048631]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64106306], KGE = [0.64510044] and KGE_PRIME = [0.66772201]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.6457869], KGE = [0.64262082] and KGE_PRIME = [0.66483583]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64888925], KGE = [0.64168258] and KGE_PRIME = [0.66389407]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64981528], KGE = [0.63876411] and KGE_PRIME = [0.6625577]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65048796], KGE = [0.63537215] and KGE_PRIME = [0.65862055]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65218798], KGE = [0.6328158] and KGE_PRIME = [0.65523959]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65358785], KGE = [0.62930017] and KGE_PRIME = [0.65292606]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65404807], KGE = [0.62728874] and KGE_PRIME = [0.65212434]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65474703], KGE = [0.62478444] and KGE_PRIME = [0.65281309]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65396587], KGE = [0.62294665] and KGE_PRIME = [0.65223998]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65541604], KGE = [0.62317004] and KGE_PRIME = [0.65206981]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65559111], KGE = [0.62175742] and KGE_PRIME = [0.65173146]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65517573], KGE = [0.61936404] and KGE_PRIME = [0.6507842]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65384789], KGE = [0.61636061] and KGE_PRIME = [0.64648284]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65496376], KGE = [0.61482241] and KGE_PRIME = [0.64576562]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65540049], KGE = [0.61279271] and KGE_PRIME = [0.64482051]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65629489], KGE = [0.61230875] and KGE_PRIME = [0.64412782]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65659676], KGE = [0.61145114] and KGE_PRIME = [0.6424771]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65541604], KGE = [0.60902854] and KGE_PRIME = [0.6403262]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65486526], KGE = [0.60676215] and KGE_PRIME = [0.63852815]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65398474], KGE = [0.60410172] and KGE_PRIME = [0.63721312]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65387765], KGE = [0.60228105] and KGE_PRIME = [0.63603578]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65368396], KGE = [0.60094441] and KGE_PRIME = [0.63558442]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65290418], KGE = [0.59858286] and KGE_PRIME = [0.63538006]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65334686], KGE = [0.59740008] and KGE_PRIME = [0.63426099]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65293257], KGE = [0.59528085] and KGE_PRIME = [0.63272865]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65265375], KGE = [0.59372697] and KGE_PRIME = [0.6314863]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65218913], KGE = [0.59240957] and KGE_PRIME = [0.62962646]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65172393], KGE = [0.59057996] and KGE_PRIME = [0.62876751]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65175598], KGE = [0.5893369] and KGE_PRIME = [0.62777208]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65178962], KGE = [0.58817673] and KGE_PRIME = [0.6269562]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.6512118], KGE = [0.58671128] and KGE_PRIME = [0.62605923]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65092259], KGE = [0.58543143] and KGE_PRIME = [0.6244378]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65036703], KGE = [0.58402058] and KGE_PRIME = [0.62293763]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64964182], KGE = [0.58295562] and KGE_PRIME = [0.62206142]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64903861], KGE = [0.58157112] and KGE_PRIME = [0.6206177]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64889068], KGE = [0.58096224] and KGE_PRIME = [0.61984564]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64883715], KGE = [0.58004096] and KGE_PRIME = [0.61883868]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.6486534], KGE = [0.57937301] and KGE_PRIME = [0.61881077]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 10 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '10', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_10_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64835971], KGE = [0.57822782] and KGE_PRIME = [0.61814325]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.65, 0.35)
NSE = [0.35137014], KGE = [0.64016316] and KGE_PRIME = [0.64728351]
R score: 0.35 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.53869872], KGE = [0.68833699] and KGE_PRIME = [0.7041572]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.5841519], KGE = [0.680075] and KGE_PRIME = [0.70602938]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60709633], KGE = [0.67967277] and KGE_PRIME = [0.70239676]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61601784], KGE = [0.66860331] and KGE_PRIME = [0.69333776]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62363669], KGE = [0.66113627] and KGE_PRIME = [0.68419788]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63213492], KGE = [0.65567498] and KGE_PRIME = [0.67924794]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63568421], KGE = [0.65249545] and KGE_PRIME = [0.67437847]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63754304], KGE = [0.64802302] and KGE_PRIME = [0.67093835]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64154449], KGE = [0.64527298] and KGE_PRIME = [0.6667523]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64452433], KGE = [0.64220717] and KGE_PRIME = [0.66514707]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64826474], KGE = [0.64161639] and KGE_PRIME = [0.66546159]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64945401], KGE = [0.6387098] and KGE_PRIME = [0.66409901]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64873245], KGE = [0.63501098] and KGE_PRIME = [0.66052855]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65110026], KGE = [0.63221438] and KGE_PRIME = [0.65609353]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65254547], KGE = [0.62902601] and KGE_PRIME = [0.65377957]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65358244], KGE = [0.62718117] and KGE_PRIME = [0.65284144]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65444154], KGE = [0.6249662] and KGE_PRIME = [0.65354164]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65374489], KGE = [0.62337924] and KGE_PRIME = [0.65296587]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65478884], KGE = [0.62309892] and KGE_PRIME = [0.65268016]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65510648], KGE = [0.62162955] and KGE_PRIME = [0.65260827]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65434941], KGE = [0.61895904] and KGE_PRIME = [0.65050707]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65374953], KGE = [0.61605939] and KGE_PRIME = [0.64651888]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.6546594], KGE = [0.61464507] and KGE_PRIME = [0.64614487]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65508066], KGE = [0.6125257] and KGE_PRIME = [0.64470878]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65539328], KGE = [0.61147391] and KGE_PRIME = [0.6439547]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65620013], KGE = [0.61066459] and KGE_PRIME = [0.64272707]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65542814], KGE = [0.60881599] and KGE_PRIME = [0.64056411]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65464794], KGE = [0.60640726] and KGE_PRIME = [0.63929649]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65348164], KGE = [0.60348561] and KGE_PRIME = [0.63790715]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65373401], KGE = [0.60243486] and KGE_PRIME = [0.63677526]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.6532556], KGE = [0.60079215] and KGE_PRIME = [0.63633453]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65308113], KGE = [0.59877794] and KGE_PRIME = [0.63547132]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65244966], KGE = [0.59710092] and KGE_PRIME = [0.63422537]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65229961], KGE = [0.59504545] and KGE_PRIME = [0.63328214]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65171158], KGE = [0.59314137] and KGE_PRIME = [0.63180295]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65104235], KGE = [0.59149005] and KGE_PRIME = [0.6301982]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65106022], KGE = [0.59009764] and KGE_PRIME = [0.62979538]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65099822], KGE = [0.58837667] and KGE_PRIME = [0.62822053]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65063518], KGE = [0.58686387] and KGE_PRIME = [0.62764463]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.6509157], KGE = [0.58639562] and KGE_PRIME = [0.62663297]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65100192], KGE = [0.5854398] and KGE_PRIME = [0.62565606]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65038426], KGE = [0.58398975] and KGE_PRIME = [0.62371866]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64939079], KGE = [0.58257112] and KGE_PRIME = [0.62260105]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64906291], KGE = [0.58158102] and KGE_PRIME = [0.62129817]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64849446], KGE = [0.58039238] and KGE_PRIME = [0.62077272]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64823263], KGE = [0.57960095] and KGE_PRIME = [0.61971009]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64802151], KGE = [0.57893421] and KGE_PRIME = [0.61933625]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 15 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '15', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_15_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64769575], KGE = [0.57764434] and KGE_PRIME = [0.6184276]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.66, 0.36)
NSE = [0.36335628], KGE = [0.64658471] and KGE_PRIME = [0.65387369]
R score: 0.36 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.53827518], KGE = [0.68759424] and KGE_PRIME = [0.70978646]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.58254298], KGE = [0.68127884] and KGE_PRIME = [0.70738464]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.608823], KGE = [0.67799383] and KGE_PRIME = [0.70316408]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62089101], KGE = [0.67109339] and KGE_PRIME = [0.69624725]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.62577171], KGE = [0.66300839] and KGE_PRIME = [0.68644243]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63387337], KGE = [0.65774717] and KGE_PRIME = [0.6814457]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63766832], KGE = [0.6541424] and KGE_PRIME = [0.6770908]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64008364], KGE = [0.64907524] and KGE_PRIME = [0.67339259]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64324279], KGE = [0.64638218] and KGE_PRIME = [0.6718208]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64739822], KGE = [0.64362606] and KGE_PRIME = [0.66587818]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64854091], KGE = [0.64179757] and KGE_PRIME = [0.66030677]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64951628], KGE = [0.63847047] and KGE_PRIME = [0.65570466]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65234408], KGE = [0.63719123] and KGE_PRIME = [0.6575739]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65330982], KGE = [0.63559618] and KGE_PRIME = [0.65848668]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65499537], KGE = [0.63310659] and KGE_PRIME = [0.65827426]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65517698], KGE = [0.63006396] and KGE_PRIME = [0.65728441]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65604909], KGE = [0.62832336] and KGE_PRIME = [0.65781868]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65471851], KGE = [0.62607641] and KGE_PRIME = [0.65530312]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65439135], KGE = [0.62442349] and KGE_PRIME = [0.65446629]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65558132], KGE = [0.62269068] and KGE_PRIME = [0.65167877]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65531747], KGE = [0.62088591] and KGE_PRIME = [0.65084687]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65561741], KGE = [0.61919582] and KGE_PRIME = [0.65011967]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65605363], KGE = [0.61689796] and KGE_PRIME = [0.64873169]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65541142], KGE = [0.61457008] and KGE_PRIME = [0.6477411]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65468901], KGE = [0.61258229] and KGE_PRIME = [0.64400475]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65433475], KGE = [0.61085447] and KGE_PRIME = [0.6425377]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65412571], KGE = [0.60945946] and KGE_PRIME = [0.64069418]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65453367], KGE = [0.60758434] and KGE_PRIME = [0.63920777]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65432108], KGE = [0.6056594] and KGE_PRIME = [0.63767208]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65394691], KGE = [0.60359295] and KGE_PRIME = [0.63715206]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65356174], KGE = [0.60149885] and KGE_PRIME = [0.63658144]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65278653], KGE = [0.59971317] and KGE_PRIME = [0.63479381]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65240137], KGE = [0.59823065] and KGE_PRIME = [0.63418642]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65248167], KGE = [0.5962714] and KGE_PRIME = [0.63385744]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65292185], KGE = [0.59495821] and KGE_PRIME = [0.6328206]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65259306], KGE = [0.59381255] and KGE_PRIME = [0.63166096]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65272829], KGE = [0.59265767] and KGE_PRIME = [0.63038248]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65185672], KGE = [0.59071728] and KGE_PRIME = [0.62982811]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65142075], KGE = [0.58981862] and KGE_PRIME = [0.62851691]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65032367], KGE = [0.58754433] and KGE_PRIME = [0.62704514]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65037497], KGE = [0.5863516] and KGE_PRIME = [0.62605546]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64937397], KGE = [0.58445411] and KGE_PRIME = [0.62495413]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.6495488], KGE = [0.58340996] and KGE_PRIME = [0.62392878]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64950711], KGE = [0.5827768] and KGE_PRIME = [0.62365229]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64858952], KGE = [0.58124997] and KGE_PRIME = [0.62195374]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64835841], KGE = [0.58013183] and KGE_PRIME = [0.62095072]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64793529], KGE = [0.57901723] and KGE_PRIME = [0.62031565]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 20 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '20', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_20_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64739761], KGE = [0.5778342] and KGE_PRIME = [0.61922403]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.66, 0.35)
NSE = [0.35445957], KGE = [0.64118843] and KGE_PRIME = [0.64857656]
R score: 0.35 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.73, 0.52)
NSE = [0.52435127], KGE = [0.67824929] and KGE_PRIME = [0.69910712]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.58287372], KGE = [0.67570432] and KGE_PRIME = [0.70307137]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60343866], KGE = [0.67392841] and KGE_PRIME = [0.70060316]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.6166336], KGE = [0.6687665] and KGE_PRIME = [0.69817076]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.62766161], KGE = [0.66636885] and KGE_PRIME = [0.69214676]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63237616], KGE = [0.66019372] and KGE_PRIME = [0.6829358]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.6379829], KGE = [0.6551166] and KGE_PRIME = [0.67565638]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63970078], KGE = [0.64877371] and KGE_PRIME = [0.67294709]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64404324], KGE = [0.64744672] and KGE_PRIME = [0.67265424]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.6485404], KGE = [0.64425986] and KGE_PRIME = [0.67094519]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64973443], KGE = [0.64186536] and KGE_PRIME = [0.66922138]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64941671], KGE = [0.63933749] and KGE_PRIME = [0.66594507]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65113777], KGE = [0.63750922] and KGE_PRIME = [0.66463424]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.6515266], KGE = [0.63498978] and KGE_PRIME = [0.66214551]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65188461], KGE = [0.63206343] and KGE_PRIME = [0.65889296]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65277446], KGE = [0.63094387] and KGE_PRIME = [0.65940321]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65400091], KGE = [0.62981042] and KGE_PRIME = [0.65916808]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65378933], KGE = [0.62756111] and KGE_PRIME = [0.6572454]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65475905], KGE = [0.62537262] and KGE_PRIME = [0.65542818]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65511024], KGE = [0.6231476] and KGE_PRIME = [0.65392919]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65594851], KGE = [0.62259846] and KGE_PRIME = [0.652989]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65671236], KGE = [0.62137253] and KGE_PRIME = [0.6509156]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65551161], KGE = [0.61876881] and KGE_PRIME = [0.64872583]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65595003], KGE = [0.61715668] and KGE_PRIME = [0.64850128]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65519388], KGE = [0.61510126] and KGE_PRIME = [0.64701962]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65419837], KGE = [0.61264478] and KGE_PRIME = [0.64414755]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65416713], KGE = [0.61119732] and KGE_PRIME = [0.64246991]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65299282], KGE = [0.60908168] and KGE_PRIME = [0.64167933]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65269438], KGE = [0.60769482] and KGE_PRIME = [0.64018433]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.6523107], KGE = [0.60588389] and KGE_PRIME = [0.63821315]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65227494], KGE = [0.60409122] and KGE_PRIME = [0.63766726]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65217436], KGE = [0.6026434] and KGE_PRIME = [0.63679647]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65214651], KGE = [0.60112536] and KGE_PRIME = [0.63538358]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65193142], KGE = [0.59939862] and KGE_PRIME = [0.63408205]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65200021], KGE = [0.59797389] and KGE_PRIME = [0.63351187]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65214022], KGE = [0.5963255] and KGE_PRIME = [0.632494]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65170072], KGE = [0.59417184] and KGE_PRIME = [0.63127863]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65116716], KGE = [0.59272801] and KGE_PRIME = [0.63004876]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65089149], KGE = [0.59196181] and KGE_PRIME = [0.63006772]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65012322], KGE = [0.59002482] and KGE_PRIME = [0.62966178]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65061359], KGE = [0.5897961] and KGE_PRIME = [0.62937863]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65085324], KGE = [0.58845297] and KGE_PRIME = [0.62915795]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65044318], KGE = [0.58712932] and KGE_PRIME = [0.62732021]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65016084], KGE = [0.58598215] and KGE_PRIME = [0.62708204]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65028489], KGE = [0.58458855] and KGE_PRIME = [0.62644027]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65002078], KGE = [0.58377767] and KGE_PRIME = [0.62571791]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64951474], KGE = [0.58261675] and KGE_PRIME = [0.6246109]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 25 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '25', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_25_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64863586], KGE = [0.58149403] and KGE_PRIME = [0.62408449]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.65, 0.36)
NSE = [0.35667911], KGE = [0.6390326] and KGE_PRIME = [0.64748273]
R score: 0.36 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.52564036], KGE = [0.67735158] and KGE_PRIME = [0.69998465]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.5794632], KGE = [0.67190067] and KGE_PRIME = [0.70037619]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.60)
NSE = [0.60000202], KGE = [0.67138179] and KGE_PRIME = [0.69960637]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61382769], KGE = [0.66637896] and KGE_PRIME = [0.69533612]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.6239487], KGE = [0.66189199] and KGE_PRIME = [0.68939556]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.6302855], KGE = [0.65702005] and KGE_PRIME = [0.68158967]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63530172], KGE = [0.65169841] and KGE_PRIME = [0.67423212]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63806518], KGE = [0.64676759] and KGE_PRIME = [0.67184187]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64297741], KGE = [0.64466584] and KGE_PRIME = [0.671845]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64613471], KGE = [0.64162095] and KGE_PRIME = [0.66965467]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.6486099], KGE = [0.63989333] and KGE_PRIME = [0.66739657]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64867565], KGE = [0.63699578] and KGE_PRIME = [0.66569936]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64931415], KGE = [0.63438801] and KGE_PRIME = [0.66466534]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64931349], KGE = [0.63189509] and KGE_PRIME = [0.66059578]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64964603], KGE = [0.62940118] and KGE_PRIME = [0.65740475]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65047002], KGE = [0.62797643] and KGE_PRIME = [0.65809825]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.6522465], KGE = [0.62723943] and KGE_PRIME = [0.65847354]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65214175], KGE = [0.62581905] and KGE_PRIME = [0.65607732]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65212237], KGE = [0.62302932] and KGE_PRIME = [0.65357575]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.6527018], KGE = [0.62044936] and KGE_PRIME = [0.65241865]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65351823], KGE = [0.61941788] and KGE_PRIME = [0.65126573]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65367068], KGE = [0.61821413] and KGE_PRIME = [0.65002753]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65344286], KGE = [0.61622379] and KGE_PRIME = [0.64864648]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65323393], KGE = [0.61458347] and KGE_PRIME = [0.64731293]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65252207], KGE = [0.61195674] and KGE_PRIME = [0.64524029]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65200469], KGE = [0.60973241] and KGE_PRIME = [0.64186612]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65148113], KGE = [0.60818993] and KGE_PRIME = [0.64075723]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65066922], KGE = [0.60578959] and KGE_PRIME = [0.64004581]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65001022], KGE = [0.60450354] and KGE_PRIME = [0.63842636]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64961164], KGE = [0.60300245] and KGE_PRIME = [0.63704381]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64932602], KGE = [0.60128047] and KGE_PRIME = [0.63583324]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64930084], KGE = [0.59954478] and KGE_PRIME = [0.63513619]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64944688], KGE = [0.59848458] and KGE_PRIME = [0.63445128]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64875996], KGE = [0.59678187] and KGE_PRIME = [0.63235936]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64904878], KGE = [0.59500576] and KGE_PRIME = [0.63204171]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.6491244], KGE = [0.59318678] and KGE_PRIME = [0.63091097]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64903013], KGE = [0.59141355] and KGE_PRIME = [0.6300545]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64876738], KGE = [0.59046822] and KGE_PRIME = [0.62905646]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64785504], KGE = [0.58864547] and KGE_PRIME = [0.62835446]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64774607], KGE = [0.58772256] and KGE_PRIME = [0.62836457]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64767138], KGE = [0.58690306] and KGE_PRIME = [0.62790172]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64780336], KGE = [0.58563104] and KGE_PRIME = [0.62714657]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64792721], KGE = [0.5843024] and KGE_PRIME = [0.62658146]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64762304], KGE = [0.58335486] and KGE_PRIME = [0.62580914]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64792386], KGE = [0.58216212] and KGE_PRIME = [0.62513581]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.6473566], KGE = [0.5806355] and KGE_PRIME = [0.62400087]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64685702], KGE = [0.57962162] and KGE_PRIME = [0.62373846]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 30 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '30', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_30_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64609236], KGE = [0.5785197] and KGE_PRIME = [0.62291374]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.77, Relative - RMSE: 0.40
and Correlations (Pearson, Rscore): (0.63, 0.32)
NSE = [0.31992504], KGE = [0.61912088] and KGE_PRIME = [0.62755428]
R score: 0.32 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.66, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.71, 0.49)
NSE = [0.49006395], KGE = [0.65321775] and KGE_PRIME = [0.67488229]
R score: 0.49 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.5484091], KGE = [0.64840322] and KGE_PRIME = [0.6756387]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.57)
NSE = [0.56916461], KGE = [0.64846627] and KGE_PRIME = [0.67677004]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.58233355], KGE = [0.64163915] and KGE_PRIME = [0.6706173]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59351296], KGE = [0.63911569] and KGE_PRIME = [0.66547791]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60004019], KGE = [0.6334252] and KGE_PRIME = [0.65903441]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60840292], KGE = [0.62893571] and KGE_PRIME = [0.65256949]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.6128302], KGE = [0.62447406] and KGE_PRIME = [0.65204616]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61689442], KGE = [0.62248342] and KGE_PRIME = [0.64993504]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.6204749], KGE = [0.62007222] and KGE_PRIME = [0.64793503]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62116405], KGE = [0.61738829] and KGE_PRIME = [0.64390297]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62137673], KGE = [0.61418336] and KGE_PRIME = [0.64238256]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62268088], KGE = [0.61200618] and KGE_PRIME = [0.64094341]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62201926], KGE = [0.60929825] and KGE_PRIME = [0.63649553]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62292861], KGE = [0.60761932] and KGE_PRIME = [0.63569755]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62483383], KGE = [0.60659384] and KGE_PRIME = [0.63549751]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62572604], KGE = [0.60570299] and KGE_PRIME = [0.63537138]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62564596], KGE = [0.6035731] and KGE_PRIME = [0.63326263]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62522942], KGE = [0.60109308] and KGE_PRIME = [0.63021754]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62619755], KGE = [0.59908209] and KGE_PRIME = [0.63030624]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.6263581], KGE = [0.59741792] and KGE_PRIME = [0.62763563]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62803566], KGE = [0.59620146] and KGE_PRIME = [0.62752017]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62854838], KGE = [0.59458409] and KGE_PRIME = [0.626783]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62787027], KGE = [0.59339821] and KGE_PRIME = [0.62474494]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62567649], KGE = [0.59079162] and KGE_PRIME = [0.62190199]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62605853], KGE = [0.5887747] and KGE_PRIME = [0.61999867]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62637854], KGE = [0.58735463] and KGE_PRIME = [0.6194294]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62459659], KGE = [0.58517941] and KGE_PRIME = [0.61731794]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62372046], KGE = [0.5828041] and KGE_PRIME = [0.61539399]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62338458], KGE = [0.58127391] and KGE_PRIME = [0.61477072]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62322661], KGE = [0.57959271] and KGE_PRIME = [0.61387572]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62285987], KGE = [0.57813342] and KGE_PRIME = [0.61284455]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62366393], KGE = [0.57761287] and KGE_PRIME = [0.61207153]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62241146], KGE = [0.57500112] and KGE_PRIME = [0.6106687]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62249753], KGE = [0.57364831] and KGE_PRIME = [0.60988325]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62303893], KGE = [0.57198533] and KGE_PRIME = [0.60890126]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62334591], KGE = [0.57056921] and KGE_PRIME = [0.60861968]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62285165], KGE = [0.56972595] and KGE_PRIME = [0.60771786]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62174447], KGE = [0.56789922] and KGE_PRIME = [0.60656302]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62155443], KGE = [0.56680023] and KGE_PRIME = [0.60646873]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62102991], KGE = [0.5653637] and KGE_PRIME = [0.60549577]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62135511], KGE = [0.56441071] and KGE_PRIME = [0.60516728]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62146643], KGE = [0.56367256] and KGE_PRIME = [0.60459086]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62153921], KGE = [0.56204843] and KGE_PRIME = [0.60383227]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62195331], KGE = [0.56154411] and KGE_PRIME = [0.60340096]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62131732], KGE = [0.56011715] and KGE_PRIME = [0.60260154]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62061313], KGE = [0.55875121] and KGE_PRIME = [0.60153432]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 35 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '35', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_35_winds_gradients_1D_tl3.nc
PCs loaded from file
14 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62003319], KGE = [0.55759867] and KGE_PRIME = [0.60092005]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.68, 0.38)
NSE = [0.38476686], KGE = [0.66996402] and KGE_PRIME = [0.67363151]
R score: 0.38 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.53590217], KGE = [0.70102195] and KGE_PRIME = [0.71648898]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59300801], KGE = [0.70370487] and KGE_PRIME = [0.72503064]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62383385], KGE = [0.69933382] and KGE_PRIME = [0.72380918]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64079915], KGE = [0.69521181] and KGE_PRIME = [0.72379555]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65415042], KGE = [0.6913268] and KGE_PRIME = [0.71820922]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66063413], KGE = [0.68669941] and KGE_PRIME = [0.71337431]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66680932], KGE = [0.68241253] and KGE_PRIME = [0.71287737]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67046244], KGE = [0.67909722] and KGE_PRIME = [0.71206775]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67132803], KGE = [0.67561306] and KGE_PRIME = [0.70974503]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67232901], KGE = [0.67139962] and KGE_PRIME = [0.70734187]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67647712], KGE = [0.67033071] and KGE_PRIME = [0.70622202]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67783898], KGE = [0.66771526] and KGE_PRIME = [0.7021979]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67820407], KGE = [0.66291668] and KGE_PRIME = [0.69952511]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68128576], KGE = [0.66105306] and KGE_PRIME = [0.69626656]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68355964], KGE = [0.65915282] and KGE_PRIME = [0.69586273]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68279618], KGE = [0.65550521] and KGE_PRIME = [0.69459606]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68259292], KGE = [0.65403584] and KGE_PRIME = [0.69359472]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68266155], KGE = [0.65196134] and KGE_PRIME = [0.69122193]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68258869], KGE = [0.64876793] and KGE_PRIME = [0.68863397]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68271833], KGE = [0.64714741] and KGE_PRIME = [0.6879496]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6811933], KGE = [0.64357854] and KGE_PRIME = [0.68604464]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68243422], KGE = [0.6419713] and KGE_PRIME = [0.68570811]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6826058], KGE = [0.63962291] and KGE_PRIME = [0.68467577]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68229918], KGE = [0.63741689] and KGE_PRIME = [0.68425091]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68146053], KGE = [0.63589627] and KGE_PRIME = [0.68316017]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68073592], KGE = [0.63404172] and KGE_PRIME = [0.68177114]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67952465], KGE = [0.63148057] and KGE_PRIME = [0.67954828]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67906226], KGE = [0.62942471] and KGE_PRIME = [0.67697386]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67893042], KGE = [0.62793882] and KGE_PRIME = [0.67600454]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.678095], KGE = [0.62661804] and KGE_PRIME = [0.67370052]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67760564], KGE = [0.62539459] and KGE_PRIME = [0.67247522]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67783657], KGE = [0.62397725] and KGE_PRIME = [0.67113023]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67807905], KGE = [0.62303848] and KGE_PRIME = [0.66901047]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67875192], KGE = [0.62199198] and KGE_PRIME = [0.66821314]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67784112], KGE = [0.6202828] and KGE_PRIME = [0.66618549]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67797954], KGE = [0.61945259] and KGE_PRIME = [0.66446326]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67759631], KGE = [0.61784667] and KGE_PRIME = [0.66301104]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67706752], KGE = [0.61660198] and KGE_PRIME = [0.66262959]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67676692], KGE = [0.61528351] and KGE_PRIME = [0.6615522]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67627252], KGE = [0.61410428] and KGE_PRIME = [0.66055289]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67579273], KGE = [0.61276071] and KGE_PRIME = [0.65940203]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6757642], KGE = [0.61230586] and KGE_PRIME = [0.65766873]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67601707], KGE = [0.61153006] and KGE_PRIME = [0.65732968]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67552926], KGE = [0.61014345] and KGE_PRIME = [0.65618008]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67511354], KGE = [0.6089564] and KGE_PRIME = [0.65550562]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.67)
NSE = [0.67467168], KGE = [0.60766792] and KGE_PRIME = [0.65463875]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67328535], KGE = [0.60585316] and KGE_PRIME = [0.65330131]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 40 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '40', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_40_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67310978], KGE = [0.60504005] and KGE_PRIME = [0.6522399]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.68, 0.39)
NSE = [0.39209698], KGE = [0.67593184] and KGE_PRIME = [0.67922813]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.54696199], KGE = [0.70203607] and KGE_PRIME = [0.72330328]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.606798], KGE = [0.71022665] and KGE_PRIME = [0.73233012]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63585098], KGE = [0.70790874] and KGE_PRIME = [0.729325]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65128718], KGE = [0.70085635] and KGE_PRIME = [0.72771449]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66130735], KGE = [0.69522455] and KGE_PRIME = [0.72864559]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66853076], KGE = [0.69201508] and KGE_PRIME = [0.72674685]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67036669], KGE = [0.68700727] and KGE_PRIME = [0.71874761]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67012548], KGE = [0.68248153] and KGE_PRIME = [0.7133133]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67291466], KGE = [0.67889991] and KGE_PRIME = [0.70993656]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67539772], KGE = [0.67442474] and KGE_PRIME = [0.70615474]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67637301], KGE = [0.66988853] and KGE_PRIME = [0.70439077]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67971229], KGE = [0.66804227] and KGE_PRIME = [0.70313267]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68026942], KGE = [0.66478456] and KGE_PRIME = [0.70221861]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68195825], KGE = [0.66345842] and KGE_PRIME = [0.70429049]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68297416], KGE = [0.66122217] and KGE_PRIME = [0.70176127]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68447877], KGE = [0.6594749] and KGE_PRIME = [0.70054202]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68555616], KGE = [0.6581549] and KGE_PRIME = [0.69852248]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68594214], KGE = [0.65658099] and KGE_PRIME = [0.69488734]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68646497], KGE = [0.65387818] and KGE_PRIME = [0.6925836]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68717466], KGE = [0.652217] and KGE_PRIME = [0.69314513]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68710147], KGE = [0.64981415] and KGE_PRIME = [0.69214097]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68654467], KGE = [0.64794958] and KGE_PRIME = [0.69083014]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68610656], KGE = [0.64492683] and KGE_PRIME = [0.69006376]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68532547], KGE = [0.64329762] and KGE_PRIME = [0.68798578]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6856517], KGE = [0.64127032] and KGE_PRIME = [0.68637933]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6854862], KGE = [0.63980109] and KGE_PRIME = [0.6851698]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68467717], KGE = [0.63711016] and KGE_PRIME = [0.68423135]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68425364], KGE = [0.63486816] and KGE_PRIME = [0.68287082]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68426055], KGE = [0.63392576] and KGE_PRIME = [0.68068645]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68401851], KGE = [0.63231009] and KGE_PRIME = [0.67976493]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68408876], KGE = [0.6308529] and KGE_PRIME = [0.67905078]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68392125], KGE = [0.62967103] and KGE_PRIME = [0.67642393]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68293113], KGE = [0.62819461] and KGE_PRIME = [0.67521204]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68224662], KGE = [0.62677593] and KGE_PRIME = [0.67350083]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68208797], KGE = [0.62509163] and KGE_PRIME = [0.67233908]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68185263], KGE = [0.6234824] and KGE_PRIME = [0.67103942]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68095553], KGE = [0.62152242] and KGE_PRIME = [0.66993776]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6803779], KGE = [0.62093988] and KGE_PRIME = [0.66794745]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68083901], KGE = [0.61995456] and KGE_PRIME = [0.66693758]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6806845], KGE = [0.61850342] and KGE_PRIME = [0.66605043]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68051113], KGE = [0.61727794] and KGE_PRIME = [0.66563164]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68028959], KGE = [0.6161807] and KGE_PRIME = [0.66452767]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68062869], KGE = [0.61551715] and KGE_PRIME = [0.66360906]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68024119], KGE = [0.61433499] and KGE_PRIME = [0.66280236]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68002165], KGE = [0.61343283] and KGE_PRIME = [0.6625184]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67978495], KGE = [0.61190238] and KGE_PRIME = [0.66144087]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67954083], KGE = [0.61079694] and KGE_PRIME = [0.66043064]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 45 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '45', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_45_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67827633], KGE = [0.6095091] and KGE_PRIME = [0.65856296]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.68, 0.39)
NSE = [0.3931764], KGE = [0.67553552] and KGE_PRIME = [0.67921127]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.54906637], KGE = [0.7017077] and KGE_PRIME = [0.72517309]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61031618], KGE = [0.71116682] and KGE_PRIME = [0.73711043]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63666782], KGE = [0.70932772] and KGE_PRIME = [0.73319624]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65350096], KGE = [0.70283752] and KGE_PRIME = [0.73396779]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66446294], KGE = [0.69732305] and KGE_PRIME = [0.73646435]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67070745], KGE = [0.69276401] and KGE_PRIME = [0.7310945]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67421245], KGE = [0.68862931] and KGE_PRIME = [0.72425914]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67212261], KGE = [0.68344461] and KGE_PRIME = [0.717829]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67578865], KGE = [0.68041301] and KGE_PRIME = [0.71616975]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67766307], KGE = [0.67560153] and KGE_PRIME = [0.71176147]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68020767], KGE = [0.67121887] and KGE_PRIME = [0.71139811]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68168758], KGE = [0.66895855] and KGE_PRIME = [0.70832836]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68285905], KGE = [0.66631197] and KGE_PRIME = [0.7079916]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68477716], KGE = [0.66446225] and KGE_PRIME = [0.7081336]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68563752], KGE = [0.66255267] and KGE_PRIME = [0.70579428]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68748969], KGE = [0.66090914] and KGE_PRIME = [0.70445299]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6879006], KGE = [0.6593478] and KGE_PRIME = [0.70390231]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6883404], KGE = [0.65755846] and KGE_PRIME = [0.70069158]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68857012], KGE = [0.65472627] and KGE_PRIME = [0.69991287]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68996513], KGE = [0.65378295] and KGE_PRIME = [0.6985421]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68925953], KGE = [0.65124193] and KGE_PRIME = [0.69768934]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68946334], KGE = [0.64923106] and KGE_PRIME = [0.69565162]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68904288], KGE = [0.64669731] and KGE_PRIME = [0.69479593]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68864748], KGE = [0.64477403] and KGE_PRIME = [0.69258808]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68801955], KGE = [0.64256152] and KGE_PRIME = [0.69210293]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68789301], KGE = [0.64113793] and KGE_PRIME = [0.69028561]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.686775], KGE = [0.63827353] and KGE_PRIME = [0.68989259]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6867547], KGE = [0.636194] and KGE_PRIME = [0.68835721]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68673609], KGE = [0.63545239] and KGE_PRIME = [0.68613997]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68692316], KGE = [0.63458927] and KGE_PRIME = [0.68548588]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68657178], KGE = [0.63278663] and KGE_PRIME = [0.68443485]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68658356], KGE = [0.63122232] and KGE_PRIME = [0.682875]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68586961], KGE = [0.63027974] and KGE_PRIME = [0.68124294]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68541935], KGE = [0.62836298] and KGE_PRIME = [0.67940837]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68529709], KGE = [0.62731019] and KGE_PRIME = [0.67778457]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68503916], KGE = [0.62548174] and KGE_PRIME = [0.67686119]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68487841], KGE = [0.62424747] and KGE_PRIME = [0.67584519]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68411609], KGE = [0.62281877] and KGE_PRIME = [0.67430823]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68435974], KGE = [0.62194431] and KGE_PRIME = [0.67310869]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68383908], KGE = [0.62054464] and KGE_PRIME = [0.67180981]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68360928], KGE = [0.61935805] and KGE_PRIME = [0.67087828]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68368801], KGE = [0.61836385] and KGE_PRIME = [0.67015348]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68395703], KGE = [0.61757557] and KGE_PRIME = [0.66962747]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68354855], KGE = [0.61627032] and KGE_PRIME = [0.6690991]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68351392], KGE = [0.61566397] and KGE_PRIME = [0.66777685]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68307834], KGE = [0.61410975] and KGE_PRIME = [0.6668626]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68318795], KGE = [0.61341652] and KGE_PRIME = [0.66606188]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 50 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '50', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_50_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68221232], KGE = [0.61172523] and KGE_PRIME = [0.66502603]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.69, 0.40)
NSE = [0.40137203], KGE = [0.68236677] and KGE_PRIME = [0.6851749]
R score: 0.4 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55626111], KGE = [0.70386957] and KGE_PRIME = [0.72991508]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60955293], KGE = [0.71187697] and KGE_PRIME = [0.73856399]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64107606], KGE = [0.71127019] and KGE_PRIME = [0.74327769]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65922871], KGE = [0.70953525] and KGE_PRIME = [0.73929931]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66591819], KGE = [0.70287098] and KGE_PRIME = [0.73607075]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67142621], KGE = [0.70048686] and KGE_PRIME = [0.7315643]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.6734489], KGE = [0.69593431] and KGE_PRIME = [0.72816014]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67315043], KGE = [0.68922466] and KGE_PRIME = [0.72312283]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67655364], KGE = [0.68375562] and KGE_PRIME = [0.71975646]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67788726], KGE = [0.67823441] and KGE_PRIME = [0.71651322]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68010985], KGE = [0.6757821] and KGE_PRIME = [0.71220965]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68213304], KGE = [0.67283426] and KGE_PRIME = [0.71066866]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68247661], KGE = [0.67037708] and KGE_PRIME = [0.70747877]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68549876], KGE = [0.66810031] and KGE_PRIME = [0.70814162]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68493098], KGE = [0.66536412] and KGE_PRIME = [0.70588553]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68691176], KGE = [0.66506622] and KGE_PRIME = [0.70580842]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68674461], KGE = [0.66255087] and KGE_PRIME = [0.70350722]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68826285], KGE = [0.66073545] and KGE_PRIME = [0.70297613]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68838082], KGE = [0.65806557] and KGE_PRIME = [0.7014932]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68840797], KGE = [0.65677195] and KGE_PRIME = [0.69978634]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6878313], KGE = [0.65449861] and KGE_PRIME = [0.69790493]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68768941], KGE = [0.65315137] and KGE_PRIME = [0.69813814]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68751184], KGE = [0.65139338] and KGE_PRIME = [0.69532107]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.687393], KGE = [0.64905383] and KGE_PRIME = [0.69400959]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6868885], KGE = [0.64756489] and KGE_PRIME = [0.69259086]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68586465], KGE = [0.64436714] and KGE_PRIME = [0.69122027]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6862674], KGE = [0.64285332] and KGE_PRIME = [0.6901276]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68602895], KGE = [0.64117614] and KGE_PRIME = [0.68910691]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6871506], KGE = [0.64083349] and KGE_PRIME = [0.68812193]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68653342], KGE = [0.63931833] and KGE_PRIME = [0.68676587]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68578484], KGE = [0.63733566] and KGE_PRIME = [0.68576586]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68605645], KGE = [0.63540202] and KGE_PRIME = [0.6845124]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68551443], KGE = [0.6339551] and KGE_PRIME = [0.68365823]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6849641], KGE = [0.63218812] and KGE_PRIME = [0.68149914]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68467449], KGE = [0.63122514] and KGE_PRIME = [0.68043217]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68455933], KGE = [0.62974526] and KGE_PRIME = [0.68028646]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68372155], KGE = [0.62801789] and KGE_PRIME = [0.67819315]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6837383], KGE = [0.62662706] and KGE_PRIME = [0.67684648]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68375728], KGE = [0.62592193] and KGE_PRIME = [0.67528231]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68342203], KGE = [0.62499581] and KGE_PRIME = [0.67434039]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68340589], KGE = [0.62426403] and KGE_PRIME = [0.67315207]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68296161], KGE = [0.62294412] and KGE_PRIME = [0.6716807]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68235734], KGE = [0.62134719] and KGE_PRIME = [0.67060531]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68210214], KGE = [0.62055577] and KGE_PRIME = [0.66971483]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68231152], KGE = [0.61959238] and KGE_PRIME = [0.66949758]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68162754], KGE = [0.61875391] and KGE_PRIME = [0.6681332]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68150177], KGE = [0.61778176] and KGE_PRIME = [0.66739181]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 55 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '55', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_55_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68145943], KGE = [0.61689905] and KGE_PRIME = [0.66705381]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.69, 0.41)
NSE = [0.40822144], KGE = [0.68226115] and KGE_PRIME = [0.68639377]
R score: 0.41 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56646524], KGE = [0.70429838] and KGE_PRIME = [0.73455199]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62022589], KGE = [0.71529534] and KGE_PRIME = [0.74823888]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.65)
NSE = [0.64525358], KGE = [0.71013476] and KGE_PRIME = [0.74958683]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65550078], KGE = [0.70725314] and KGE_PRIME = [0.74225342]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66729991], KGE = [0.70575153] and KGE_PRIME = [0.73745819]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66905093], KGE = [0.69912085] and KGE_PRIME = [0.73036772]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66991464], KGE = [0.69233793] and KGE_PRIME = [0.72488286]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67151063], KGE = [0.68714218] and KGE_PRIME = [0.72233914]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6742686], KGE = [0.68384761] and KGE_PRIME = [0.71629552]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6774545], KGE = [0.67987807] and KGE_PRIME = [0.71634758]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68098052], KGE = [0.67796983] and KGE_PRIME = [0.71564964]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68132761], KGE = [0.67618628] and KGE_PRIME = [0.71365192]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68241083], KGE = [0.67405407] and KGE_PRIME = [0.7123778]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68180845], KGE = [0.67056213] and KGE_PRIME = [0.71024899]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68234916], KGE = [0.66745285] and KGE_PRIME = [0.70863222]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68358524], KGE = [0.66558997] and KGE_PRIME = [0.70501635]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68508084], KGE = [0.66351482] and KGE_PRIME = [0.70526697]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68546665], KGE = [0.66181761] and KGE_PRIME = [0.70508574]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68652772], KGE = [0.65970493] and KGE_PRIME = [0.70442132]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6870891], KGE = [0.65801449] and KGE_PRIME = [0.7022297]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68746725], KGE = [0.65532237] and KGE_PRIME = [0.70131901]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68786421], KGE = [0.65385879] and KGE_PRIME = [0.69977242]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68764129], KGE = [0.65175843] and KGE_PRIME = [0.69846785]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68801331], KGE = [0.65058952] and KGE_PRIME = [0.697351]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68838557], KGE = [0.64919651] and KGE_PRIME = [0.69613343]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68786484], KGE = [0.6470593] and KGE_PRIME = [0.69431444]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68759033], KGE = [0.64591816] and KGE_PRIME = [0.69302489]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68738925], KGE = [0.64510585] and KGE_PRIME = [0.69094106]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68717803], KGE = [0.64369444] and KGE_PRIME = [0.69014258]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68706808], KGE = [0.64156542] and KGE_PRIME = [0.68927346]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6866205], KGE = [0.64068399] and KGE_PRIME = [0.68702234]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68667773], KGE = [0.63887287] and KGE_PRIME = [0.68586918]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68603159], KGE = [0.63727956] and KGE_PRIME = [0.68438278]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68576036], KGE = [0.63600322] and KGE_PRIME = [0.68287119]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68505475], KGE = [0.63405987] and KGE_PRIME = [0.68175624]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68453629], KGE = [0.63211665] and KGE_PRIME = [0.6807935]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68449293], KGE = [0.63121997] and KGE_PRIME = [0.68005389]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68398088], KGE = [0.62994937] and KGE_PRIME = [0.67883713]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68359907], KGE = [0.62821546] and KGE_PRIME = [0.67725436]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68314317], KGE = [0.62720606] and KGE_PRIME = [0.67592522]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.683225], KGE = [0.62594621] and KGE_PRIME = [0.67457947]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68316874], KGE = [0.62510563] and KGE_PRIME = [0.67282445]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68238023], KGE = [0.62362767] and KGE_PRIME = [0.6713695]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.681632], KGE = [0.62231425] and KGE_PRIME = [0.67056976]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68170191], KGE = [0.62171985] and KGE_PRIME = [0.66992371]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68118471], KGE = [0.62012535] and KGE_PRIME = [0.66877712]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68079301], KGE = [0.61885321] and KGE_PRIME = [0.66819173]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 60 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '60', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_60_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67995853], KGE = [0.61760915] and KGE_PRIME = [0.6674627]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.68, 0.39)
NSE = [0.39291788], KGE = [0.67450965] and KGE_PRIME = [0.67742067]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.56357736], KGE = [0.69890104] and KGE_PRIME = [0.72958378]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61934611], KGE = [0.70947041] and KGE_PRIME = [0.74607823]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64425103], KGE = [0.71008949] and KGE_PRIME = [0.74590226]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.6552645], KGE = [0.70511477] and KGE_PRIME = [0.74230913]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66616576], KGE = [0.70194483] and KGE_PRIME = [0.73525672]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66659713], KGE = [0.69612124] and KGE_PRIME = [0.72535863]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66894054], KGE = [0.691331] and KGE_PRIME = [0.72190289]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.6705506], KGE = [0.68444978] and KGE_PRIME = [0.71955888]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67311269], KGE = [0.68156557] and KGE_PRIME = [0.71625576]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67818683], KGE = [0.68037381] and KGE_PRIME = [0.71470786]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68039049], KGE = [0.67730897] and KGE_PRIME = [0.71487437]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67925858], KGE = [0.67156856] and KGE_PRIME = [0.71143119]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68081409], KGE = [0.66928842] and KGE_PRIME = [0.70916267]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68096451], KGE = [0.66586296] and KGE_PRIME = [0.70685857]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68133811], KGE = [0.66352264] and KGE_PRIME = [0.70438883]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68097486], KGE = [0.66168091] and KGE_PRIME = [0.70247939]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68275455], KGE = [0.66076082] and KGE_PRIME = [0.70255443]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6828585], KGE = [0.65755626] and KGE_PRIME = [0.70026934]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68382867], KGE = [0.65518863] and KGE_PRIME = [0.70038171]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68419726], KGE = [0.65406915] and KGE_PRIME = [0.69935162]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68465118], KGE = [0.65267799] and KGE_PRIME = [0.69749066]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68544142], KGE = [0.6510864] and KGE_PRIME = [0.6945849]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68580959], KGE = [0.64884354] and KGE_PRIME = [0.6920569]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68621731], KGE = [0.64753196] and KGE_PRIME = [0.69154156]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68690763], KGE = [0.64672254] and KGE_PRIME = [0.6909228]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68600078], KGE = [0.64452492] and KGE_PRIME = [0.69001869]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68528969], KGE = [0.64190402] and KGE_PRIME = [0.6882734]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68504214], KGE = [0.64071552] and KGE_PRIME = [0.68691561]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68520194], KGE = [0.63951223] and KGE_PRIME = [0.68559475]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68485941], KGE = [0.63837825] and KGE_PRIME = [0.68506392]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68454773], KGE = [0.63715764] and KGE_PRIME = [0.68381844]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68408428], KGE = [0.63601258] and KGE_PRIME = [0.68230912]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68395707], KGE = [0.63433487] and KGE_PRIME = [0.68143943]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68340087], KGE = [0.63236175] and KGE_PRIME = [0.6799698]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68258129], KGE = [0.63054922] and KGE_PRIME = [0.67841525]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68251509], KGE = [0.62908799] and KGE_PRIME = [0.67697123]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68251366], KGE = [0.6276029] and KGE_PRIME = [0.67582355]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.682562], KGE = [0.62657874] and KGE_PRIME = [0.6745035]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68200337], KGE = [0.62479013] and KGE_PRIME = [0.67362427]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68069895], KGE = [0.62266097] and KGE_PRIME = [0.67203214]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68034467], KGE = [0.6214872] and KGE_PRIME = [0.67088553]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68011462], KGE = [0.62052171] and KGE_PRIME = [0.66940478]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67983721], KGE = [0.61915047] and KGE_PRIME = [0.66867169]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67944552], KGE = [0.61842875] and KGE_PRIME = [0.66782768]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67931049], KGE = [0.61759784] and KGE_PRIME = [0.66624442]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6789515], KGE = [0.6165094] and KGE_PRIME = [0.66563573]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67819816], KGE = [0.61499607] and KGE_PRIME = [0.66468545]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 65 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '65', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_65_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67831865], KGE = [0.61373587] and KGE_PRIME = [0.66426874]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.39)
NSE = [0.39161764], KGE = [0.67631404] and KGE_PRIME = [0.67932114]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.54856991], KGE = [0.70305269] and KGE_PRIME = [0.7248571]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61317187], KGE = [0.71628253] and KGE_PRIME = [0.73843651]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63929806], KGE = [0.71314012] and KGE_PRIME = [0.73482767]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65548197], KGE = [0.70456252] and KGE_PRIME = [0.73593673]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66369954], KGE = [0.69954521] and KGE_PRIME = [0.73595343]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67274927], KGE = [0.69693451] and KGE_PRIME = [0.72957042]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67578913], KGE = [0.69185287] and KGE_PRIME = [0.72271638]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67532899], KGE = [0.6869316] and KGE_PRIME = [0.71904586]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67764632], KGE = [0.68338654] and KGE_PRIME = [0.71442527]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67991951], KGE = [0.67875289] and KGE_PRIME = [0.71253589]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68298578], KGE = [0.67397691] and KGE_PRIME = [0.7099179]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68440294], KGE = [0.67281201] and KGE_PRIME = [0.70873733]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68490926], KGE = [0.6703426] and KGE_PRIME = [0.70562421]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68599846], KGE = [0.66817549] and KGE_PRIME = [0.70645295]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68726656], KGE = [0.66656573] and KGE_PRIME = [0.7057111]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68848766], KGE = [0.66422906] and KGE_PRIME = [0.7037081]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68956332], KGE = [0.66239121] and KGE_PRIME = [0.70236052]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69055773], KGE = [0.66091764] and KGE_PRIME = [0.70066551]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69086627], KGE = [0.65840027] and KGE_PRIME = [0.69942769]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69209196], KGE = [0.65753898] and KGE_PRIME = [0.69805841]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69028109], KGE = [0.65442755] and KGE_PRIME = [0.69507284]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69091992], KGE = [0.65238895] and KGE_PRIME = [0.69523685]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69087599], KGE = [0.64957624] and KGE_PRIME = [0.69449355]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69034856], KGE = [0.64746942] and KGE_PRIME = [0.69306752]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68917043], KGE = [0.64557721] and KGE_PRIME = [0.69129221]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68836667], KGE = [0.64359651] and KGE_PRIME = [0.6906074]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68799816], KGE = [0.64192663] and KGE_PRIME = [0.68896216]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68758058], KGE = [0.63990035] and KGE_PRIME = [0.68760177]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6886158], KGE = [0.63954279] and KGE_PRIME = [0.68648014]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68792259], KGE = [0.63764482] and KGE_PRIME = [0.68437288]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68794086], KGE = [0.63576702] and KGE_PRIME = [0.68335823]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68807943], KGE = [0.63474745] and KGE_PRIME = [0.68208658]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68787565], KGE = [0.63398041] and KGE_PRIME = [0.68034969]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68705235], KGE = [0.63214354] and KGE_PRIME = [0.67850226]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68747078], KGE = [0.6314242] and KGE_PRIME = [0.67736655]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68720237], KGE = [0.62933308] and KGE_PRIME = [0.67660722]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68712563], KGE = [0.62811087] and KGE_PRIME = [0.67504953]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68644663], KGE = [0.62649461] and KGE_PRIME = [0.67393052]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68594798], KGE = [0.62511809] and KGE_PRIME = [0.67286743]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68522808], KGE = [0.62368215] and KGE_PRIME = [0.67170738]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68543326], KGE = [0.62287614] and KGE_PRIME = [0.67072635]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68539698], KGE = [0.62222139] and KGE_PRIME = [0.66995474]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68551858], KGE = [0.620998] and KGE_PRIME = [0.66888681]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68598845], KGE = [0.62041837] and KGE_PRIME = [0.66812068]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68591485], KGE = [0.61935721] and KGE_PRIME = [0.6676884]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68480645], KGE = [0.6172213] and KGE_PRIME = [0.66644917]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6843678], KGE = [0.61656207] and KGE_PRIME = [0.6652178]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 70 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '70', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_70_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68408232], KGE = [0.61554397] and KGE_PRIME = [0.66428829]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.69, 0.40)
NSE = [0.39971891], KGE = [0.67947426] and KGE_PRIME = [0.68310503]
R score: 0.4 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.55317274], KGE = [0.70422176] and KGE_PRIME = [0.72408704]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60875193], KGE = [0.71289387] and KGE_PRIME = [0.73858084]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63752143], KGE = [0.70750142] and KGE_PRIME = [0.7356528]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65018972], KGE = [0.70060824] and KGE_PRIME = [0.73235866]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.66013846], KGE = [0.69689177] and KGE_PRIME = [0.73111879]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66654709], KGE = [0.69222873] and KGE_PRIME = [0.72419615]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67144571], KGE = [0.68726745] and KGE_PRIME = [0.72392807]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67591193], KGE = [0.68479173] and KGE_PRIME = [0.7201233]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67846502], KGE = [0.68086066] and KGE_PRIME = [0.71369237]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68056456], KGE = [0.67708558] and KGE_PRIME = [0.71013476]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68349281], KGE = [0.67429784] and KGE_PRIME = [0.70846855]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68243659], KGE = [0.67182105] and KGE_PRIME = [0.70674399]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68450899], KGE = [0.66910922] and KGE_PRIME = [0.70501052]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68588517], KGE = [0.66791407] and KGE_PRIME = [0.70407605]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68737198], KGE = [0.66589663] and KGE_PRIME = [0.70260075]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68777793], KGE = [0.66342223] and KGE_PRIME = [0.70059434]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68864451], KGE = [0.66158729] and KGE_PRIME = [0.69892198]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68927521], KGE = [0.65893758] and KGE_PRIME = [0.69843211]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68957256], KGE = [0.656369] and KGE_PRIME = [0.69637768]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68982186], KGE = [0.65402443] and KGE_PRIME = [0.69489197]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68926374], KGE = [0.65168176] and KGE_PRIME = [0.69324004]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68966623], KGE = [0.65049509] and KGE_PRIME = [0.69286339]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69010639], KGE = [0.64867851] and KGE_PRIME = [0.69143624]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69080984], KGE = [0.64730114] and KGE_PRIME = [0.69023229]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69144011], KGE = [0.64555535] and KGE_PRIME = [0.68919641]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69177407], KGE = [0.64389866] and KGE_PRIME = [0.68900638]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69209664], KGE = [0.64253276] and KGE_PRIME = [0.68765756]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69186305], KGE = [0.64155267] and KGE_PRIME = [0.68681253]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69160672], KGE = [0.63971299] and KGE_PRIME = [0.68441828]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69126632], KGE = [0.63835704] and KGE_PRIME = [0.68450494]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69081433], KGE = [0.63701284] and KGE_PRIME = [0.68325878]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69064296], KGE = [0.63552949] and KGE_PRIME = [0.6831661]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69072897], KGE = [0.63393292] and KGE_PRIME = [0.68245036]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6908144], KGE = [0.63341177] and KGE_PRIME = [0.68191804]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69063086], KGE = [0.63209294] and KGE_PRIME = [0.68035412]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69031835], KGE = [0.63068277] and KGE_PRIME = [0.67943902]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68984477], KGE = [0.62882025] and KGE_PRIME = [0.67812819]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68955974], KGE = [0.6276129] and KGE_PRIME = [0.67717799]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68970269], KGE = [0.62669219] and KGE_PRIME = [0.67613173]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68921327], KGE = [0.62558815] and KGE_PRIME = [0.67475354]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68907297], KGE = [0.62452165] and KGE_PRIME = [0.67313001]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68797707], KGE = [0.62311113] and KGE_PRIME = [0.67169456]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6875616], KGE = [0.6220895] and KGE_PRIME = [0.67053022]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68699742], KGE = [0.62122847] and KGE_PRIME = [0.66965996]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68641528], KGE = [0.61963612] and KGE_PRIME = [0.66930124]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68599275], KGE = [0.61817658] and KGE_PRIME = [0.66830894]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68533101], KGE = [0.61703866] and KGE_PRIME = [0.66703475]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 75 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '75', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_75_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68454449], KGE = [0.6159609] and KGE_PRIME = [0.66519113]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.67, 0.37)
NSE = [0.37467111], KGE = [0.65549698] and KGE_PRIME = [0.65773763]
R score: 0.37 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56503515], KGE = [0.69670279] and KGE_PRIME = [0.73133013]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61351155], KGE = [0.70480958] and KGE_PRIME = [0.74528521]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63721272], KGE = [0.70274892] and KGE_PRIME = [0.7437486]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64962682], KGE = [0.69743147] and KGE_PRIME = [0.74039124]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65533478], KGE = [0.69271713] and KGE_PRIME = [0.73279868]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66202945], KGE = [0.68668431] and KGE_PRIME = [0.72827849]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66880747], KGE = [0.68388049] and KGE_PRIME = [0.7263312]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67052306], KGE = [0.67829112] and KGE_PRIME = [0.71955488]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.6704378], KGE = [0.6736404] and KGE_PRIME = [0.71330657]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67397991], KGE = [0.672049] and KGE_PRIME = [0.71335708]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67750488], KGE = [0.6695772] and KGE_PRIME = [0.71374607]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.678781], KGE = [0.66643226] and KGE_PRIME = [0.71049029]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67888883], KGE = [0.66283731] and KGE_PRIME = [0.70840439]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68029291], KGE = [0.66179497] and KGE_PRIME = [0.70690436]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6799725], KGE = [0.65868032] and KGE_PRIME = [0.70532426]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68020484], KGE = [0.65623221] and KGE_PRIME = [0.70344424]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67931375], KGE = [0.65409735] and KGE_PRIME = [0.69945599]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67984848], KGE = [0.65244553] and KGE_PRIME = [0.69763127]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68071318], KGE = [0.65101437] and KGE_PRIME = [0.69767678]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68229578], KGE = [0.64914154] and KGE_PRIME = [0.69645468]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68284842], KGE = [0.64670967] and KGE_PRIME = [0.69591979]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.682627], KGE = [0.64494846] and KGE_PRIME = [0.6942095]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68275589], KGE = [0.64286369] and KGE_PRIME = [0.69416621]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68342198], KGE = [0.64121585] and KGE_PRIME = [0.69347896]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68296192], KGE = [0.63926292] and KGE_PRIME = [0.6925214]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68326091], KGE = [0.63826708] and KGE_PRIME = [0.69078104]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68405916], KGE = [0.6372099] and KGE_PRIME = [0.68906717]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68440571], KGE = [0.6364077] and KGE_PRIME = [0.68845133]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68383941], KGE = [0.6342234] and KGE_PRIME = [0.68693053]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6838138], KGE = [0.63303612] and KGE_PRIME = [0.68529807]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68302138], KGE = [0.63132264] and KGE_PRIME = [0.68433135]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68325177], KGE = [0.6306145] and KGE_PRIME = [0.68336384]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68400078], KGE = [0.62966245] and KGE_PRIME = [0.6825651]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68407061], KGE = [0.62854708] and KGE_PRIME = [0.6817371]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.684054], KGE = [0.62738059] and KGE_PRIME = [0.68023117]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68415514], KGE = [0.62619103] and KGE_PRIME = [0.67972119]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68389024], KGE = [0.62495602] and KGE_PRIME = [0.67906083]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68393165], KGE = [0.62341089] and KGE_PRIME = [0.67710976]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6830906], KGE = [0.62222706] and KGE_PRIME = [0.67560377]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68240148], KGE = [0.62005239] and KGE_PRIME = [0.67460963]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68173479], KGE = [0.61890463] and KGE_PRIME = [0.67321497]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68095543], KGE = [0.61746855] and KGE_PRIME = [0.67248428]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68048484], KGE = [0.61620607] and KGE_PRIME = [0.67193314]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67982759], KGE = [0.61549458] and KGE_PRIME = [0.67089714]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6790666], KGE = [0.61429074] and KGE_PRIME = [0.66982727]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6781107], KGE = [0.61243931] and KGE_PRIME = [0.66887871]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67718728], KGE = [0.61095427] and KGE_PRIME = [0.66800762]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 80 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '80', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_80_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67721722], KGE = [0.61011676] and KGE_PRIME = [0.66694179]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.67, 0.38)
NSE = [0.38119203], KGE = [0.65592935] and KGE_PRIME = [0.6574143]
R score: 0.38 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56674265], KGE = [0.69398658] and KGE_PRIME = [0.73057922]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61254865], KGE = [0.69750222] and KGE_PRIME = [0.74377487]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63596959], KGE = [0.70083235] and KGE_PRIME = [0.74404257]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.6481055], KGE = [0.69400718] and KGE_PRIME = [0.73820511]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65719723], KGE = [0.69159405] and KGE_PRIME = [0.73443863]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66152181], KGE = [0.68287044] and KGE_PRIME = [0.72804344]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.669277], KGE = [0.67981335] and KGE_PRIME = [0.72476468]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67095851], KGE = [0.67417839] and KGE_PRIME = [0.71959223]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67054186], KGE = [0.67072334] and KGE_PRIME = [0.71382783]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67510731], KGE = [0.6695191] and KGE_PRIME = [0.71347159]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67667084], KGE = [0.66399304] and KGE_PRIME = [0.71383701]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67756708], KGE = [0.66137865] and KGE_PRIME = [0.71066831]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67872949], KGE = [0.65925283] and KGE_PRIME = [0.70873664]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68020573], KGE = [0.65750644] and KGE_PRIME = [0.7079598]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6791707], KGE = [0.65521687] and KGE_PRIME = [0.70464155]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68027746], KGE = [0.6524452] and KGE_PRIME = [0.7039876]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67967154], KGE = [0.65019682] and KGE_PRIME = [0.70042215]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68028999], KGE = [0.64846345] and KGE_PRIME = [0.69827953]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68081738], KGE = [0.64680066] and KGE_PRIME = [0.69654019]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68210323], KGE = [0.64553348] and KGE_PRIME = [0.69663749]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68202957], KGE = [0.64201075] and KGE_PRIME = [0.69486391]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68248636], KGE = [0.64103586] and KGE_PRIME = [0.69399857]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68216159], KGE = [0.63906524] and KGE_PRIME = [0.69386154]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6829784], KGE = [0.63784802] and KGE_PRIME = [0.69331438]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68360185], KGE = [0.63636765] and KGE_PRIME = [0.69207975]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68345093], KGE = [0.63448425] and KGE_PRIME = [0.69037084]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68418265], KGE = [0.6325456] and KGE_PRIME = [0.68886056]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68447946], KGE = [0.63162838] and KGE_PRIME = [0.68816964]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68372563], KGE = [0.62966425] and KGE_PRIME = [0.68686042]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6841789], KGE = [0.62981927] and KGE_PRIME = [0.68585712]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68352629], KGE = [0.62814531] and KGE_PRIME = [0.68410436]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68312738], KGE = [0.62645958] and KGE_PRIME = [0.68200096]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68348134], KGE = [0.62558936] and KGE_PRIME = [0.68105185]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68397463], KGE = [0.62429917] and KGE_PRIME = [0.68087978]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68371634], KGE = [0.62282196] and KGE_PRIME = [0.68006012]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68420544], KGE = [0.62185348] and KGE_PRIME = [0.67894235]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68410022], KGE = [0.6207122] and KGE_PRIME = [0.67826232]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68359274], KGE = [0.61918095] and KGE_PRIME = [0.67669234]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68266769], KGE = [0.61772726] and KGE_PRIME = [0.67500725]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68178576], KGE = [0.61618419] and KGE_PRIME = [0.67348903]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68142313], KGE = [0.61464067] and KGE_PRIME = [0.67298515]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68030983], KGE = [0.61287313] and KGE_PRIME = [0.67213346]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6797992], KGE = [0.61161905] and KGE_PRIME = [0.6709841]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67932224], KGE = [0.61074545] and KGE_PRIME = [0.67008391]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67882946], KGE = [0.60990893] and KGE_PRIME = [0.66962444]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67807101], KGE = [0.60858242] and KGE_PRIME = [0.66845819]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67760372], KGE = [0.60736081] and KGE_PRIME = [0.66746566]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 85 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '85', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_85_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67713507], KGE = [0.60631755] and KGE_PRIME = [0.66613863]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.68, 0.39)
NSE = [0.39048979], KGE = [0.64731776] and KGE_PRIME = [0.6407606]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.5634956], KGE = [0.68327648] and KGE_PRIME = [0.72353275]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60412397], KGE = [0.69237576] and KGE_PRIME = [0.73909183]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.62868044], KGE = [0.69734348] and KGE_PRIME = [0.73835732]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64264845], KGE = [0.68742236] and KGE_PRIME = [0.73766518]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65390577], KGE = [0.68485951] and KGE_PRIME = [0.73441661]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66215876], KGE = [0.68021671] and KGE_PRIME = [0.72956222]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66702776], KGE = [0.67569622] and KGE_PRIME = [0.72726219]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66750213], KGE = [0.67059383] and KGE_PRIME = [0.72073015]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67019897], KGE = [0.66715039] and KGE_PRIME = [0.71918414]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67030063], KGE = [0.66117171] and KGE_PRIME = [0.71642025]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67445422], KGE = [0.65880277] and KGE_PRIME = [0.71511126]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.674076], KGE = [0.6548833] and KGE_PRIME = [0.71347725]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67407418], KGE = [0.65277772] and KGE_PRIME = [0.71116516]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67508318], KGE = [0.65098695] and KGE_PRIME = [0.70884094]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6767874], KGE = [0.64858044] and KGE_PRIME = [0.70748437]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6761234], KGE = [0.64620333] and KGE_PRIME = [0.70440026]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67663274], KGE = [0.6439906] and KGE_PRIME = [0.70394571]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67618594], KGE = [0.64040936] and KGE_PRIME = [0.70075325]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67675353], KGE = [0.63778634] and KGE_PRIME = [0.7000178]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67699352], KGE = [0.63717135] and KGE_PRIME = [0.69947518]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67770424], KGE = [0.63626106] and KGE_PRIME = [0.69734941]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67908892], KGE = [0.63451721] and KGE_PRIME = [0.69612145]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67977967], KGE = [0.63257535] and KGE_PRIME = [0.69498029]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6810675], KGE = [0.63131529] and KGE_PRIME = [0.6942372]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68050469], KGE = [0.62887456] and KGE_PRIME = [0.69301774]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68139718], KGE = [0.62784696] and KGE_PRIME = [0.69265612]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68187671], KGE = [0.62620663] and KGE_PRIME = [0.69168827]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68213655], KGE = [0.6246818] and KGE_PRIME = [0.69050351]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68112828], KGE = [0.62330957] and KGE_PRIME = [0.68946917]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68121943], KGE = [0.62227401] and KGE_PRIME = [0.68850796]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68136567], KGE = [0.62047767] and KGE_PRIME = [0.68674339]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68080811], KGE = [0.6189146] and KGE_PRIME = [0.68576244]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68080628], KGE = [0.61823279] and KGE_PRIME = [0.68528806]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68100212], KGE = [0.61728941] and KGE_PRIME = [0.6836912]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68113895], KGE = [0.61595158] and KGE_PRIME = [0.68270426]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68048128], KGE = [0.61460764] and KGE_PRIME = [0.68090049]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68017895], KGE = [0.61374268] and KGE_PRIME = [0.68008693]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67963465], KGE = [0.61258733] and KGE_PRIME = [0.67859813]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67832451], KGE = [0.61040255] and KGE_PRIME = [0.6772668]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67873575], KGE = [0.60970751] and KGE_PRIME = [0.67654654]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67795118], KGE = [0.60821027] and KGE_PRIME = [0.67545811]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67687867], KGE = [0.6066362] and KGE_PRIME = [0.67406153]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67637418], KGE = [0.60468454] and KGE_PRIME = [0.67288756]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67615238], KGE = [0.60394317] and KGE_PRIME = [0.67190678]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67612325], KGE = [0.60312657] and KGE_PRIME = [0.67111542]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67587463], KGE = [0.60240163] and KGE_PRIME = [0.67073374]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67560986], KGE = [0.60144792] and KGE_PRIME = [0.67020248]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 90 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '90', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_90_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67539827], KGE = [0.60039699] and KGE_PRIME = [0.66934602]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.42)
NSE = [0.41686232], KGE = [0.69505694] and KGE_PRIME = [0.69701877]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.5699256], KGE = [0.72263935] and KGE_PRIME = [0.73937448]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.6245036], KGE = [0.73020058] and KGE_PRIME = [0.74401465]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64853025], KGE = [0.72514604] and KGE_PRIME = [0.74834185]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65478517], KGE = [0.71555603] and KGE_PRIME = [0.74190767]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.6612012], KGE = [0.71239354] and KGE_PRIME = [0.73342309]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66729914], KGE = [0.7086185] and KGE_PRIME = [0.72922791]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67226744], KGE = [0.70347963] and KGE_PRIME = [0.72746908]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6758503], KGE = [0.69805404] and KGE_PRIME = [0.72528665]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67990284], KGE = [0.69502756] and KGE_PRIME = [0.72361683]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68084468], KGE = [0.69192831] and KGE_PRIME = [0.71688301]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6843532], KGE = [0.68789743] and KGE_PRIME = [0.71393933]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68509158], KGE = [0.6841085] and KGE_PRIME = [0.71145591]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68563524], KGE = [0.68229355] and KGE_PRIME = [0.70706682]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68688938], KGE = [0.67933227] and KGE_PRIME = [0.70663374]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68824439], KGE = [0.67868576] and KGE_PRIME = [0.70387343]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68922136], KGE = [0.67637013] and KGE_PRIME = [0.70126081]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6885733], KGE = [0.67372169] and KGE_PRIME = [0.69951427]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68828434], KGE = [0.67110288] and KGE_PRIME = [0.69818091]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68797465], KGE = [0.66978446] and KGE_PRIME = [0.69843816]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68831858], KGE = [0.66831369] and KGE_PRIME = [0.69739816]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6880469], KGE = [0.6651875] and KGE_PRIME = [0.69620619]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68815274], KGE = [0.66315892] and KGE_PRIME = [0.6950644]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68884164], KGE = [0.66193878] and KGE_PRIME = [0.69286686]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68956849], KGE = [0.66011352] and KGE_PRIME = [0.69191706]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68970693], KGE = [0.65845922] and KGE_PRIME = [0.69043539]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68956497], KGE = [0.65655971] and KGE_PRIME = [0.68932666]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69005969], KGE = [0.65547414] and KGE_PRIME = [0.68783499]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68999642], KGE = [0.65392536] and KGE_PRIME = [0.68629379]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68977176], KGE = [0.65149689] and KGE_PRIME = [0.68453091]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68958653], KGE = [0.64965274] and KGE_PRIME = [0.68330948]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68913889], KGE = [0.64818528] and KGE_PRIME = [0.68245941]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.688578], KGE = [0.64693531] and KGE_PRIME = [0.68116996]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68767492], KGE = [0.64506932] and KGE_PRIME = [0.67921156]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68826289], KGE = [0.6442403] and KGE_PRIME = [0.6792748]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68805631], KGE = [0.64334538] and KGE_PRIME = [0.67899497]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68747651], KGE = [0.64228036] and KGE_PRIME = [0.67810303]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.686814], KGE = [0.64099279] and KGE_PRIME = [0.67633872]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68657364], KGE = [0.6400579] and KGE_PRIME = [0.67486927]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68581497], KGE = [0.63870142] and KGE_PRIME = [0.6734667]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68553534], KGE = [0.63750124] and KGE_PRIME = [0.67288512]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68562834], KGE = [0.63609639] and KGE_PRIME = [0.6719037]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68524017], KGE = [0.63520515] and KGE_PRIME = [0.67049101]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68533525], KGE = [0.6343194] and KGE_PRIME = [0.66952944]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68470253], KGE = [0.63285259] and KGE_PRIME = [0.66836472]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68428441], KGE = [0.63166881] and KGE_PRIME = [0.66722564]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68431115], KGE = [0.63071118] and KGE_PRIME = [0.66639582]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68381022], KGE = [0.62961858] and KGE_PRIME = [0.66554447]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 95 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '95', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_95_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6832806], KGE = [0.62817218] and KGE_PRIME = [0.66436143]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.69, 0.41)
NSE = [0.41144349], KGE = [0.67766318] and KGE_PRIME = [0.68348437]
R score: 0.41 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56816545], KGE = [0.70954545] and KGE_PRIME = [0.73792585]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61477291], KGE = [0.71534596] and KGE_PRIME = [0.74839609]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64451401], KGE = [0.71469099] and KGE_PRIME = [0.74514739]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65672525], KGE = [0.70738162] and KGE_PRIME = [0.73836978]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66539312], KGE = [0.69932511] and KGE_PRIME = [0.73702434]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67076486], KGE = [0.69384094] and KGE_PRIME = [0.73438813]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67976996], KGE = [0.69318587] and KGE_PRIME = [0.7309626]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68409894], KGE = [0.69126711] and KGE_PRIME = [0.73090388]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.6870362], KGE = [0.68716634] and KGE_PRIME = [0.72510189]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68779399], KGE = [0.68326457] and KGE_PRIME = [0.72151213]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68772574], KGE = [0.67977489] and KGE_PRIME = [0.71845614]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68814911], KGE = [0.67670906] and KGE_PRIME = [0.71678657]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68814335], KGE = [0.67282933] and KGE_PRIME = [0.71438389]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69011482], KGE = [0.67085491] and KGE_PRIME = [0.714517]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69092693], KGE = [0.66870989] and KGE_PRIME = [0.71256628]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69227859], KGE = [0.66503344] and KGE_PRIME = [0.71173877]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69299276], KGE = [0.6636027] and KGE_PRIME = [0.70863371]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6940237], KGE = [0.66170359] and KGE_PRIME = [0.70887345]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69440766], KGE = [0.6591292] and KGE_PRIME = [0.70741865]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69463931], KGE = [0.6571614] and KGE_PRIME = [0.70652207]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69424639], KGE = [0.65582555] and KGE_PRIME = [0.7048383]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69467233], KGE = [0.65414387] and KGE_PRIME = [0.70245308]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69564367], KGE = [0.65265969] and KGE_PRIME = [0.70045171]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69653441], KGE = [0.65118001] and KGE_PRIME = [0.69956225]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69715851], KGE = [0.64941482] and KGE_PRIME = [0.69899795]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69802306], KGE = [0.64882349] and KGE_PRIME = [0.69790625]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69672586], KGE = [0.64632627] and KGE_PRIME = [0.69588919]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69675985], KGE = [0.64448636] and KGE_PRIME = [0.69543626]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69666971], KGE = [0.64337388] and KGE_PRIME = [0.69429607]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69630755], KGE = [0.64185587] and KGE_PRIME = [0.69295025]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69715927], KGE = [0.6406429] and KGE_PRIME = [0.69307756]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69741282], KGE = [0.63908878] and KGE_PRIME = [0.69276621]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69656591], KGE = [0.63734446] and KGE_PRIME = [0.691647]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69624166], KGE = [0.63543966] and KGE_PRIME = [0.69055272]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69658131], KGE = [0.63466643] and KGE_PRIME = [0.69016785]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69666856], KGE = [0.63405151] and KGE_PRIME = [0.68894554]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69563138], KGE = [0.63252601] and KGE_PRIME = [0.68729955]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69482672], KGE = [0.63113174] and KGE_PRIME = [0.68589792]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6939802], KGE = [0.62980514] and KGE_PRIME = [0.68381427]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69397903], KGE = [0.62901712] and KGE_PRIME = [0.68249304]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6937361], KGE = [0.6284361] and KGE_PRIME = [0.68224414]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69345815], KGE = [0.62745104] and KGE_PRIME = [0.68110273]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69289157], KGE = [0.62600786] and KGE_PRIME = [0.67962181]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69250952], KGE = [0.62500189] and KGE_PRIME = [0.67918432]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69257047], KGE = [0.6247109] and KGE_PRIME = [0.67843174]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69200871], KGE = [0.62362377] and KGE_PRIME = [0.67773931]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69149301], KGE = [0.62226991] and KGE_PRIME = [0.67646437]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 100 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '100', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_100_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69146996], KGE = [0.62131051] and KGE_PRIME = [0.67573808]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.68, 0.39)
NSE = [0.39245133], KGE = [0.66463988] and KGE_PRIME = [0.66993715]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55528864], KGE = [0.69818392] and KGE_PRIME = [0.72937088]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60428632], KGE = [0.70695303] and KGE_PRIME = [0.74116821]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.62799251], KGE = [0.7050888] and KGE_PRIME = [0.73637562]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64221594], KGE = [0.69985885] and KGE_PRIME = [0.73134087]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.6543344], KGE = [0.69379334] and KGE_PRIME = [0.73067764]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66520534], KGE = [0.68990934] and KGE_PRIME = [0.73005964]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66792681], KGE = [0.6844531] and KGE_PRIME = [0.72246374]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67055132], KGE = [0.67941416] and KGE_PRIME = [0.71688939]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67511124], KGE = [0.67777481] and KGE_PRIME = [0.71420429]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67973892], KGE = [0.67652637] and KGE_PRIME = [0.71613883]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67763283], KGE = [0.67081771] and KGE_PRIME = [0.711828]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67623244], KGE = [0.6662191] and KGE_PRIME = [0.71025498]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67902223], KGE = [0.66571309] and KGE_PRIME = [0.70812266]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68039283], KGE = [0.66247694] and KGE_PRIME = [0.70593505]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68182118], KGE = [0.66018478] and KGE_PRIME = [0.70600404]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6811767], KGE = [0.6565277] and KGE_PRIME = [0.70506766]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68149484], KGE = [0.65490861] and KGE_PRIME = [0.70297297]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68218996], KGE = [0.65367662] and KGE_PRIME = [0.70161515]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68248893], KGE = [0.65149499] and KGE_PRIME = [0.69925139]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68178932], KGE = [0.64790111] and KGE_PRIME = [0.6982966]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68190901], KGE = [0.6454954] and KGE_PRIME = [0.69647036]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68385445], KGE = [0.64466195] and KGE_PRIME = [0.6948813]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6844353], KGE = [0.64320011] and KGE_PRIME = [0.69428142]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68510004], KGE = [0.64247324] and KGE_PRIME = [0.69270619]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68469565], KGE = [0.64012012] and KGE_PRIME = [0.69176552]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68484431], KGE = [0.63868788] and KGE_PRIME = [0.69126501]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68522533], KGE = [0.6375549] and KGE_PRIME = [0.6900789]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68590886], KGE = [0.63571039] and KGE_PRIME = [0.68852012]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68548068], KGE = [0.63426133] and KGE_PRIME = [0.68725889]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68475064], KGE = [0.63202469] and KGE_PRIME = [0.68532228]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68446793], KGE = [0.63032018] and KGE_PRIME = [0.68484262]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68515741], KGE = [0.62981889] and KGE_PRIME = [0.68512011]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68449931], KGE = [0.62786656] and KGE_PRIME = [0.68373453]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68434976], KGE = [0.62659961] and KGE_PRIME = [0.68319594]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68411233], KGE = [0.62556336] and KGE_PRIME = [0.68179735]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68378292], KGE = [0.6238593] and KGE_PRIME = [0.68073371]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68342007], KGE = [0.62267808] and KGE_PRIME = [0.67981446]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68310047], KGE = [0.62135597] and KGE_PRIME = [0.67875821]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6825003], KGE = [0.62072446] and KGE_PRIME = [0.67774991]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6828007], KGE = [0.619903] and KGE_PRIME = [0.67692131]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68310454], KGE = [0.61905216] and KGE_PRIME = [0.67565711]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6827313], KGE = [0.6178761] and KGE_PRIME = [0.67491785]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68263812], KGE = [0.61717972] and KGE_PRIME = [0.67420686]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68201443], KGE = [0.6161918] and KGE_PRIME = [0.67272714]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68143939], KGE = [0.61525497] and KGE_PRIME = [0.67149093]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68056276], KGE = [0.61395485] and KGE_PRIME = [0.67041209]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67976831], KGE = [0.61252504] and KGE_PRIME = [0.66900406]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 105 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '105', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_105_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67930595], KGE = [0.6113656] and KGE_PRIME = [0.66780242]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.69, 0.40)
NSE = [0.39880906], KGE = [0.69051748] and KGE_PRIME = [0.69124898]
R score: 0.4 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.579243], KGE = [0.72842293] and KGE_PRIME = [0.7399715]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62461551], KGE = [0.72680243] and KGE_PRIME = [0.73995953]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64324583], KGE = [0.72013512] and KGE_PRIME = [0.73763246]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65140945], KGE = [0.71267893] and KGE_PRIME = [0.73414299]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.66173228], KGE = [0.71237956] and KGE_PRIME = [0.7299706]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66837797], KGE = [0.70708356] and KGE_PRIME = [0.72697993]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.6718252], KGE = [0.70189509] and KGE_PRIME = [0.72329158]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.68)
NSE = [0.67553973], KGE = [0.69886898] and KGE_PRIME = [0.71964647]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68091926], KGE = [0.69746946] and KGE_PRIME = [0.7169437]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68284843], KGE = [0.69415971] and KGE_PRIME = [0.71582345]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68448672], KGE = [0.69213318] and KGE_PRIME = [0.71164315]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6842194], KGE = [0.68835189] and KGE_PRIME = [0.71079939]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.6851546], KGE = [0.68498524] and KGE_PRIME = [0.70802419]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68624606], KGE = [0.68254101] and KGE_PRIME = [0.70605584]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68635872], KGE = [0.67928044] and KGE_PRIME = [0.7026379]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68734955], KGE = [0.67666769] and KGE_PRIME = [0.70064921]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68689247], KGE = [0.67365144] and KGE_PRIME = [0.69866545]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68742216], KGE = [0.67192115] and KGE_PRIME = [0.69518282]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68685401], KGE = [0.66980175] and KGE_PRIME = [0.6925882]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68711555], KGE = [0.66727867] and KGE_PRIME = [0.69110732]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68790239], KGE = [0.66575518] and KGE_PRIME = [0.68964349]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68830227], KGE = [0.66409475] and KGE_PRIME = [0.68929421]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68839429], KGE = [0.66302831] and KGE_PRIME = [0.68844066]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68778468], KGE = [0.66145696] and KGE_PRIME = [0.68688238]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68748095], KGE = [0.6594223] and KGE_PRIME = [0.68595306]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68762891], KGE = [0.65713935] and KGE_PRIME = [0.68415303]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68763718], KGE = [0.65558534] and KGE_PRIME = [0.68209951]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68749445], KGE = [0.65349762] and KGE_PRIME = [0.68080066]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68694777], KGE = [0.65180639] and KGE_PRIME = [0.67927343]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68681843], KGE = [0.65050529] and KGE_PRIME = [0.67866523]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68701328], KGE = [0.64952055] and KGE_PRIME = [0.67928501]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68664665], KGE = [0.64797399] and KGE_PRIME = [0.67847074]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68630369], KGE = [0.64633574] and KGE_PRIME = [0.67810442]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6862542], KGE = [0.64502326] and KGE_PRIME = [0.67738002]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68604557], KGE = [0.64410696] and KGE_PRIME = [0.67582911]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68572235], KGE = [0.64268097] and KGE_PRIME = [0.67466586]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68491903], KGE = [0.6414387] and KGE_PRIME = [0.67335977]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68421865], KGE = [0.64006822] and KGE_PRIME = [0.67262648]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68360838], KGE = [0.63837049] and KGE_PRIME = [0.67131446]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68370345], KGE = [0.63725439] and KGE_PRIME = [0.66983629]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68355265], KGE = [0.63674044] and KGE_PRIME = [0.66911749]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68299785], KGE = [0.63541988] and KGE_PRIME = [0.66769529]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68268693], KGE = [0.63444101] and KGE_PRIME = [0.66601046]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68219645], KGE = [0.6331769] and KGE_PRIME = [0.66415743]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68213053], KGE = [0.63200232] and KGE_PRIME = [0.66310582]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68114524], KGE = [0.63022305] and KGE_PRIME = [0.66156316]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68114497], KGE = [0.62935799] and KGE_PRIME = [0.66160649]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 110 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '110', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_110_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68094763], KGE = [0.62839565] and KGE_PRIME = [0.66066806]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.38)
NSE = [0.38150904], KGE = [0.66725561] and KGE_PRIME = [0.66800237]
R score: 0.38 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55546502], KGE = [0.70773854] and KGE_PRIME = [0.73297786]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60632531], KGE = [0.71301713] and KGE_PRIME = [0.74238084]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.62911532], KGE = [0.71226057] and KGE_PRIME = [0.73851773]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.65)
NSE = [0.64726639], KGE = [0.71073768] and KGE_PRIME = [0.73821898]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65600298], KGE = [0.70067752] and KGE_PRIME = [0.72858568]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66360247], KGE = [0.69728608] and KGE_PRIME = [0.72225226]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66776764], KGE = [0.69226152] and KGE_PRIME = [0.71701753]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67277992], KGE = [0.68802033] and KGE_PRIME = [0.71614593]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67398615], KGE = [0.6851136] and KGE_PRIME = [0.71281313]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67768764], KGE = [0.68098672] and KGE_PRIME = [0.706396]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67884978], KGE = [0.67771836] and KGE_PRIME = [0.70546154]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68118657], KGE = [0.67509731] and KGE_PRIME = [0.70434347]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68352133], KGE = [0.67288643] and KGE_PRIME = [0.70219624]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6825394], KGE = [0.66883007] and KGE_PRIME = [0.69933321]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68198641], KGE = [0.66642568] and KGE_PRIME = [0.69799328]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68184905], KGE = [0.66275358] and KGE_PRIME = [0.69714044]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68246679], KGE = [0.66210876] and KGE_PRIME = [0.69595006]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68145613], KGE = [0.65970711] and KGE_PRIME = [0.69446755]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68165454], KGE = [0.65802387] and KGE_PRIME = [0.69295681]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68392157], KGE = [0.6570616] and KGE_PRIME = [0.69287895]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68464863], KGE = [0.65575518] and KGE_PRIME = [0.69256589]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68510952], KGE = [0.6538308] and KGE_PRIME = [0.69230072]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68314614], KGE = [0.65115017] and KGE_PRIME = [0.68914312]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6834822], KGE = [0.64964466] and KGE_PRIME = [0.68742314]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68397572], KGE = [0.64783832] and KGE_PRIME = [0.68667082]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6846667], KGE = [0.6465563] and KGE_PRIME = [0.68554271]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68459868], KGE = [0.64501454] and KGE_PRIME = [0.68496493]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6845719], KGE = [0.64281728] and KGE_PRIME = [0.68363216]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68565101], KGE = [0.64186691] and KGE_PRIME = [0.68292]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68539516], KGE = [0.63955342] and KGE_PRIME = [0.68254145]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68493354], KGE = [0.63749421] and KGE_PRIME = [0.68079977]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68538], KGE = [0.63646135] and KGE_PRIME = [0.67949114]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68451814], KGE = [0.63479112] and KGE_PRIME = [0.67825873]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68389418], KGE = [0.63301318] and KGE_PRIME = [0.67658378]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68350727], KGE = [0.63175334] and KGE_PRIME = [0.67533651]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6830519], KGE = [0.63002727] and KGE_PRIME = [0.67364711]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68222341], KGE = [0.62810934] and KGE_PRIME = [0.67207066]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68237497], KGE = [0.62770631] and KGE_PRIME = [0.67180139]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68190023], KGE = [0.62599454] and KGE_PRIME = [0.67115733]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68186638], KGE = [0.62509801] and KGE_PRIME = [0.67070215]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68161311], KGE = [0.62457769] and KGE_PRIME = [0.67010335]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68108163], KGE = [0.62278981] and KGE_PRIME = [0.66895953]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6815537], KGE = [0.62190536] and KGE_PRIME = [0.6687388]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68091361], KGE = [0.62127853] and KGE_PRIME = [0.66703091]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.680722], KGE = [0.62044158] and KGE_PRIME = [0.66589898]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6800096], KGE = [0.6190421] and KGE_PRIME = [0.66507308]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67926641], KGE = [0.61745431] and KGE_PRIME = [0.66394076]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 115 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '115', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_115_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6788658], KGE = [0.61689422] and KGE_PRIME = [0.66332123]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.69, 0.40)
NSE = [0.3952423], KGE = [0.68188223] and KGE_PRIME = [0.68240934]
R score: 0.4 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56629397], KGE = [0.72473855] and KGE_PRIME = [0.74339921]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62186618], KGE = [0.72974475] and KGE_PRIME = [0.7481973]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64789138], KGE = [0.73356442] and KGE_PRIME = [0.75253678]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65769437], KGE = [0.72274966] and KGE_PRIME = [0.74918877]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66557273], KGE = [0.71760503] and KGE_PRIME = [0.7438096]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67455246], KGE = [0.71869372] and KGE_PRIME = [0.7416202]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.68)
NSE = [0.67647424], KGE = [0.71305907] and KGE_PRIME = [0.73553778]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67995479], KGE = [0.70790147] and KGE_PRIME = [0.73223306]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68172576], KGE = [0.70275677] and KGE_PRIME = [0.72726872]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68452906], KGE = [0.6989547] and KGE_PRIME = [0.72260661]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68757258], KGE = [0.69668349] and KGE_PRIME = [0.72172431]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68897882], KGE = [0.69417166] and KGE_PRIME = [0.71793577]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69099105], KGE = [0.69218846] and KGE_PRIME = [0.71464987]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69096641], KGE = [0.68927799] and KGE_PRIME = [0.71379323]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69208212], KGE = [0.68644814] and KGE_PRIME = [0.7110093]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69228864], KGE = [0.68470752] and KGE_PRIME = [0.70924033]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6919532], KGE = [0.68226382] and KGE_PRIME = [0.70783939]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69325228], KGE = [0.68108618] and KGE_PRIME = [0.70763802]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69349504], KGE = [0.67908624] and KGE_PRIME = [0.70563845]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6948967], KGE = [0.67864714] and KGE_PRIME = [0.70693715]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69428764], KGE = [0.67582533] and KGE_PRIME = [0.70497783]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69380177], KGE = [0.67379932] and KGE_PRIME = [0.70312295]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69384423], KGE = [0.67155866] and KGE_PRIME = [0.70148731]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69476309], KGE = [0.67021382] and KGE_PRIME = [0.70103135]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69474642], KGE = [0.66761428] and KGE_PRIME = [0.69972842]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69532013], KGE = [0.66644115] and KGE_PRIME = [0.69846021]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69555402], KGE = [0.66488587] and KGE_PRIME = [0.69656228]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69579804], KGE = [0.66312562] and KGE_PRIME = [0.69659602]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69564302], KGE = [0.66126616] and KGE_PRIME = [0.69584005]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69491382], KGE = [0.65898964] and KGE_PRIME = [0.69472925]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69513352], KGE = [0.65772071] and KGE_PRIME = [0.69344125]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6949309], KGE = [0.65648241] and KGE_PRIME = [0.69197835]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69445573], KGE = [0.65437011] and KGE_PRIME = [0.69044803]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69428757], KGE = [0.65350666] and KGE_PRIME = [0.68963051]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69355024], KGE = [0.65241444] and KGE_PRIME = [0.68793115]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69304945], KGE = [0.6505624] and KGE_PRIME = [0.68631784]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69292428], KGE = [0.6500275] and KGE_PRIME = [0.68658142]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6924258], KGE = [0.64845726] and KGE_PRIME = [0.68539849]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6920679], KGE = [0.64706221] and KGE_PRIME = [0.68414454]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.691986], KGE = [0.64612004] and KGE_PRIME = [0.68234994]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69205156], KGE = [0.64499322] and KGE_PRIME = [0.68094106]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69188276], KGE = [0.64375947] and KGE_PRIME = [0.68003309]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6912145], KGE = [0.64230969] and KGE_PRIME = [0.67863487]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69065424], KGE = [0.64126516] and KGE_PRIME = [0.67827067]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69056959], KGE = [0.64060134] and KGE_PRIME = [0.67660402]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68997814], KGE = [0.64000667] and KGE_PRIME = [0.67616393]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6896461], KGE = [0.63911165] and KGE_PRIME = [0.67510605]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 120 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '120', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_120_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68910865], KGE = [0.63787001] and KGE_PRIME = [0.67464318]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.68, 0.39)
NSE = [0.38812977], KGE = [0.67105182] and KGE_PRIME = [0.67259738]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.5615513], KGE = [0.71033527] and KGE_PRIME = [0.73621186]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60957723], KGE = [0.71496615] and KGE_PRIME = [0.74401651]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63691554], KGE = [0.71735196] and KGE_PRIME = [0.74215439]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64978707], KGE = [0.71102983] and KGE_PRIME = [0.73927073]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65989863], KGE = [0.70466238] and KGE_PRIME = [0.73111945]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66718459], KGE = [0.6995099] and KGE_PRIME = [0.7243673]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67206726], KGE = [0.69546979] and KGE_PRIME = [0.71967896]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67748121], KGE = [0.6915916] and KGE_PRIME = [0.71792207]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67751105], KGE = [0.68701879] and KGE_PRIME = [0.71510086]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68101008], KGE = [0.68306304] and KGE_PRIME = [0.70982166]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68347778], KGE = [0.68037738] and KGE_PRIME = [0.70931188]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68609669], KGE = [0.67814068] and KGE_PRIME = [0.70847882]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6876579], KGE = [0.67557675] and KGE_PRIME = [0.70549987]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6868872], KGE = [0.6721972] and KGE_PRIME = [0.70294242]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68679711], KGE = [0.66978837] and KGE_PRIME = [0.7008397]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68609594], KGE = [0.66511459] and KGE_PRIME = [0.70103323]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68657291], KGE = [0.66337428] and KGE_PRIME = [0.7002877]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68580325], KGE = [0.66225135] and KGE_PRIME = [0.6973455]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68613437], KGE = [0.66037291] and KGE_PRIME = [0.69629419]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68832696], KGE = [0.65946751] and KGE_PRIME = [0.69649757]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68882627], KGE = [0.65816509] and KGE_PRIME = [0.69572074]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68955685], KGE = [0.65665674] and KGE_PRIME = [0.69458319]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68809132], KGE = [0.65384599] and KGE_PRIME = [0.69281284]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68808897], KGE = [0.65155372] and KGE_PRIME = [0.69103849]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6887709], KGE = [0.65048388] and KGE_PRIME = [0.69020386]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68860696], KGE = [0.6483034] and KGE_PRIME = [0.689582]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68832121], KGE = [0.64683111] and KGE_PRIME = [0.68853306]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68901366], KGE = [0.64582937] and KGE_PRIME = [0.68747125]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68967327], KGE = [0.64443567] and KGE_PRIME = [0.68659709]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69013268], KGE = [0.6423459] and KGE_PRIME = [0.68589671]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68948946], KGE = [0.63972273] and KGE_PRIME = [0.68464913]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68904652], KGE = [0.63833952] and KGE_PRIME = [0.68250737]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68846684], KGE = [0.63672378] and KGE_PRIME = [0.68086123]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68811941], KGE = [0.63568728] and KGE_PRIME = [0.67939688]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68747595], KGE = [0.6340301] and KGE_PRIME = [0.67813867]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68683664], KGE = [0.63218016] and KGE_PRIME = [0.67685854]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68591109], KGE = [0.63045043] and KGE_PRIME = [0.67517826]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68635346], KGE = [0.62977056] and KGE_PRIME = [0.67510566]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68620765], KGE = [0.62833433] and KGE_PRIME = [0.67467841]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68592049], KGE = [0.62771546] and KGE_PRIME = [0.67392782]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68568954], KGE = [0.62676889] and KGE_PRIME = [0.67360464]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6856158], KGE = [0.62567309] and KGE_PRIME = [0.67226157]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68525485], KGE = [0.62458004] and KGE_PRIME = [0.67121203]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68482816], KGE = [0.62391857] and KGE_PRIME = [0.67041472]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68476872], KGE = [0.62305469] and KGE_PRIME = [0.66893473]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68417761], KGE = [0.62132428] and KGE_PRIME = [0.66827887]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68362812], KGE = [0.61989427] and KGE_PRIME = [0.66692289]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 125 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '125', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_125_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6823631], KGE = [0.61916891] and KGE_PRIME = [0.66553939]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.68, 0.37)
NSE = [0.36877914], KGE = [0.67660489] and KGE_PRIME = [0.67728202]
R score: 0.37 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57437081], KGE = [0.72683993] and KGE_PRIME = [0.73651689]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61921237], KGE = [0.72518042] and KGE_PRIME = [0.74038292]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63622646], KGE = [0.71860464] and KGE_PRIME = [0.73582968]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65263104], KGE = [0.71568807] and KGE_PRIME = [0.73281741]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.66089679], KGE = [0.71212138] and KGE_PRIME = [0.7300684]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.6722335], KGE = [0.70800775] and KGE_PRIME = [0.7248155]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67792623], KGE = [0.70225341] and KGE_PRIME = [0.72387783]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68031775], KGE = [0.70101709] and KGE_PRIME = [0.7219312]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68338464], KGE = [0.69826595] and KGE_PRIME = [0.71703347]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68523193], KGE = [0.69493721] and KGE_PRIME = [0.71258235]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68514993], KGE = [0.69106374] and KGE_PRIME = [0.71150361]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68524785], KGE = [0.68686432] and KGE_PRIME = [0.70838593]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68570937], KGE = [0.68269388] and KGE_PRIME = [0.70682636]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68642295], KGE = [0.68084667] and KGE_PRIME = [0.70517943]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68588714], KGE = [0.67708736] and KGE_PRIME = [0.70071041]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68598308], KGE = [0.6744089] and KGE_PRIME = [0.69723004]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68482565], KGE = [0.67161556] and KGE_PRIME = [0.69533549]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68427431], KGE = [0.66910485] and KGE_PRIME = [0.69263371]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68485972], KGE = [0.66680273] and KGE_PRIME = [0.68894475]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68566461], KGE = [0.6655058] and KGE_PRIME = [0.6872994]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68586933], KGE = [0.66394984] and KGE_PRIME = [0.68439921]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68486414], KGE = [0.66234539] and KGE_PRIME = [0.68425252]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68480528], KGE = [0.66088087] and KGE_PRIME = [0.68225212]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68434251], KGE = [0.65928835] and KGE_PRIME = [0.68136871]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68532468], KGE = [0.65782883] and KGE_PRIME = [0.68027252]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6843875], KGE = [0.65595313] and KGE_PRIME = [0.68036854]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68451672], KGE = [0.65486449] and KGE_PRIME = [0.67923261]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68426435], KGE = [0.65367359] and KGE_PRIME = [0.67899318]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68309996], KGE = [0.65138671] and KGE_PRIME = [0.67615525]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6831428], KGE = [0.65002373] and KGE_PRIME = [0.67500495]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68396507], KGE = [0.64872909] and KGE_PRIME = [0.67381813]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6830549], KGE = [0.64761894] and KGE_PRIME = [0.67348863]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68363324], KGE = [0.64678451] and KGE_PRIME = [0.67260033]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68344995], KGE = [0.64585409] and KGE_PRIME = [0.67204088]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68330661], KGE = [0.6447111] and KGE_PRIME = [0.67143443]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68317688], KGE = [0.64349185] and KGE_PRIME = [0.67003764]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68266353], KGE = [0.64179117] and KGE_PRIME = [0.66856505]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68229582], KGE = [0.64113069] and KGE_PRIME = [0.66803381]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68169695], KGE = [0.63994812] and KGE_PRIME = [0.6674253]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68132049], KGE = [0.63855878] and KGE_PRIME = [0.66700427]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68075392], KGE = [0.63729439] and KGE_PRIME = [0.66603048]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68015497], KGE = [0.63580117] and KGE_PRIME = [0.66475134]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67983656], KGE = [0.63446189] and KGE_PRIME = [0.66350321]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67999521], KGE = [0.63363116] and KGE_PRIME = [0.66295456]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67986291], KGE = [0.63278591] and KGE_PRIME = [0.66290376]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6789132], KGE = [0.63141111] and KGE_PRIME = [0.66143118]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67873679], KGE = [0.63062363] and KGE_PRIME = [0.66087869]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 130 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '130', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_130_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67833278], KGE = [0.62963996] and KGE_PRIME = [0.65918743]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.38)
NSE = [0.38209205], KGE = [0.68059723] and KGE_PRIME = [0.68163092]
R score: 0.38 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.56248657], KGE = [0.72176356] and KGE_PRIME = [0.7316432]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61831144], KGE = [0.72288333] and KGE_PRIME = [0.72995657]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64100777], KGE = [0.71685521] and KGE_PRIME = [0.7342323]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65629416], KGE = [0.71269764] and KGE_PRIME = [0.73433084]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66303914], KGE = [0.70992006] and KGE_PRIME = [0.72650377]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67026292], KGE = [0.70618926] and KGE_PRIME = [0.71799215]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.68)
NSE = [0.67570465], KGE = [0.70152439] and KGE_PRIME = [0.71625399]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67988446], KGE = [0.69851082] and KGE_PRIME = [0.71258607]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68197397], KGE = [0.69540445] and KGE_PRIME = [0.70860607]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68305498], KGE = [0.69209052] and KGE_PRIME = [0.70883891]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68337246], KGE = [0.68742144] and KGE_PRIME = [0.70673054]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68470916], KGE = [0.68433708] and KGE_PRIME = [0.70316113]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6845557], KGE = [0.68074232] and KGE_PRIME = [0.69961187]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68508777], KGE = [0.67761128] and KGE_PRIME = [0.69728389]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68534413], KGE = [0.67507892] and KGE_PRIME = [0.69264227]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68579343], KGE = [0.67221494] and KGE_PRIME = [0.69195537]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68607415], KGE = [0.66914118] and KGE_PRIME = [0.68867735]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68618418], KGE = [0.66689452] and KGE_PRIME = [0.68700362]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68563676], KGE = [0.6648845] and KGE_PRIME = [0.68490887]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68491662], KGE = [0.66301015] and KGE_PRIME = [0.68420609]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68479315], KGE = [0.66096365] and KGE_PRIME = [0.68494062]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68428775], KGE = [0.65900157] and KGE_PRIME = [0.68226892]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68431005], KGE = [0.65666267] and KGE_PRIME = [0.67902694]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68513022], KGE = [0.65654548] and KGE_PRIME = [0.67874171]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68466301], KGE = [0.65497107] and KGE_PRIME = [0.67925181]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68480655], KGE = [0.65392611] and KGE_PRIME = [0.6780275]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68404961], KGE = [0.65216861] and KGE_PRIME = [0.67664945]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68398482], KGE = [0.65082855] and KGE_PRIME = [0.67501828]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68435745], KGE = [0.6498416] and KGE_PRIME = [0.6739611]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68405081], KGE = [0.64790811] and KGE_PRIME = [0.67262465]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68416883], KGE = [0.64668071] and KGE_PRIME = [0.67211528]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68400177], KGE = [0.64544749] and KGE_PRIME = [0.6707122]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68378471], KGE = [0.64441377] and KGE_PRIME = [0.66905275]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68413368], KGE = [0.64344901] and KGE_PRIME = [0.6688124]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68363224], KGE = [0.64231653] and KGE_PRIME = [0.66747655]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68231264], KGE = [0.64075235] and KGE_PRIME = [0.66554775]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68186104], KGE = [0.63961471] and KGE_PRIME = [0.66458163]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68121778], KGE = [0.63750507] and KGE_PRIME = [0.66391674]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68053549], KGE = [0.63647221] and KGE_PRIME = [0.66189301]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6802469], KGE = [0.63535484] and KGE_PRIME = [0.66017049]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68031033], KGE = [0.63452481] and KGE_PRIME = [0.65954964]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67981365], KGE = [0.63299644] and KGE_PRIME = [0.65858523]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67975269], KGE = [0.63209678] and KGE_PRIME = [0.65782313]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67940026], KGE = [0.63108605] and KGE_PRIME = [0.65763537]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67930831], KGE = [0.63019112] and KGE_PRIME = [0.65650352]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67905756], KGE = [0.62936094] and KGE_PRIME = [0.65632436]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67864317], KGE = [0.62850493] and KGE_PRIME = [0.65555028]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 135 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '135', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_135_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67890974], KGE = [0.62787422] and KGE_PRIME = [0.6556962]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.41)
NSE = [0.4139197], KGE = [0.68558706] and KGE_PRIME = [0.68780525]
R score: 0.41 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57316788], KGE = [0.72042649] and KGE_PRIME = [0.74203368]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61848304], KGE = [0.72032771] and KGE_PRIME = [0.74613074]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64400878], KGE = [0.72040242] and KGE_PRIME = [0.74418557]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65656959], KGE = [0.71056379] and KGE_PRIME = [0.74246396]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66441229], KGE = [0.704146] and KGE_PRIME = [0.73737849]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67473229], KGE = [0.70236122] and KGE_PRIME = [0.73138246]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67996212], KGE = [0.70067216] and KGE_PRIME = [0.72721207]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68416269], KGE = [0.6976982] and KGE_PRIME = [0.72650855]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68919056], KGE = [0.69500774] and KGE_PRIME = [0.72469538]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69262022], KGE = [0.69373039] and KGE_PRIME = [0.72273504]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69378202], KGE = [0.6909974] and KGE_PRIME = [0.72297359]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69416169], KGE = [0.68680996] and KGE_PRIME = [0.71875239]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69301294], KGE = [0.682988] and KGE_PRIME = [0.71487414]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69325582], KGE = [0.68031153] and KGE_PRIME = [0.71319339]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69366239], KGE = [0.67768293] and KGE_PRIME = [0.71105676]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69558992], KGE = [0.67532436] and KGE_PRIME = [0.70804328]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69579352], KGE = [0.67190125] and KGE_PRIME = [0.7060869]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69656591], KGE = [0.66987068] and KGE_PRIME = [0.70479358]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69574356], KGE = [0.66811215] and KGE_PRIME = [0.70287979]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69670732], KGE = [0.66593419] and KGE_PRIME = [0.70257919]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69702908], KGE = [0.6637089] and KGE_PRIME = [0.70123736]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69786144], KGE = [0.6616985] and KGE_PRIME = [0.70002085]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69737393], KGE = [0.65956476] and KGE_PRIME = [0.70019439]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69803975], KGE = [0.65849493] and KGE_PRIME = [0.69829344]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69810543], KGE = [0.65648301] and KGE_PRIME = [0.69682458]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69736209], KGE = [0.65364249] and KGE_PRIME = [0.69483046]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69691923], KGE = [0.65111751] and KGE_PRIME = [0.69435413]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69666467], KGE = [0.64921582] and KGE_PRIME = [0.69197121]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69656492], KGE = [0.64732008] and KGE_PRIME = [0.69041081]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69632175], KGE = [0.64540412] and KGE_PRIME = [0.68852925]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69595069], KGE = [0.64354855] and KGE_PRIME = [0.68713051]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.696392], KGE = [0.64345348] and KGE_PRIME = [0.68582297]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69628024], KGE = [0.64186859] and KGE_PRIME = [0.68486091]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69612193], KGE = [0.64093505] and KGE_PRIME = [0.68395553]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69591861], KGE = [0.639518] and KGE_PRIME = [0.68334448]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.6960819], KGE = [0.63871901] and KGE_PRIME = [0.68310629]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69527302], KGE = [0.63689071] and KGE_PRIME = [0.68187118]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69542784], KGE = [0.63579051] and KGE_PRIME = [0.6809211]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69574678], KGE = [0.63479381] and KGE_PRIME = [0.68067999]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69577899], KGE = [0.63467451] and KGE_PRIME = [0.67974459]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69595232], KGE = [0.63361981] and KGE_PRIME = [0.67996908]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69586315], KGE = [0.63261669] and KGE_PRIME = [0.67932292]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.6955112], KGE = [0.63138823] and KGE_PRIME = [0.67862526]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69567793], KGE = [0.63065693] and KGE_PRIME = [0.67794154]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6958287], KGE = [0.62975706] and KGE_PRIME = [0.67770193]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69535007], KGE = [0.62871689] and KGE_PRIME = [0.67668508]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69485835], KGE = [0.62758294] and KGE_PRIME = [0.67486446]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 140 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '140', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_140_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69450268], KGE = [0.62693993] and KGE_PRIME = [0.67450429]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.69, 0.41)
NSE = [0.40922479], KGE = [0.68491716] and KGE_PRIME = [0.68808514]
R score: 0.41 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57801577], KGE = [0.7198503] and KGE_PRIME = [0.74372077]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.6189005], KGE = [0.72434003] and KGE_PRIME = [0.74610575]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.65)
NSE = [0.64538121], KGE = [0.72007209] and KGE_PRIME = [0.74752785]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65885496], KGE = [0.71290364] and KGE_PRIME = [0.74319817]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66911307], KGE = [0.7082613] and KGE_PRIME = [0.73736359]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67418293], KGE = [0.70151978] and KGE_PRIME = [0.73333534]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6791631], KGE = [0.6994238] and KGE_PRIME = [0.73271928]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68491176], KGE = [0.69814904] and KGE_PRIME = [0.72752337]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68906465], KGE = [0.69591579] and KGE_PRIME = [0.72524512]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69051514], KGE = [0.69355331] and KGE_PRIME = [0.72175825]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6925178], KGE = [0.69234125] and KGE_PRIME = [0.71987252]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69473224], KGE = [0.68772855] and KGE_PRIME = [0.71865612]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69505607], KGE = [0.68611148] and KGE_PRIME = [0.71546932]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69605121], KGE = [0.68241045] and KGE_PRIME = [0.71487994]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69758922], KGE = [0.67972447] and KGE_PRIME = [0.71375963]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69811749], KGE = [0.67714077] and KGE_PRIME = [0.71255368]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69887621], KGE = [0.67525779] and KGE_PRIME = [0.70988094]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69924063], KGE = [0.67245586] and KGE_PRIME = [0.70756787]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69978907], KGE = [0.67083022] and KGE_PRIME = [0.70635401]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69903401], KGE = [0.66821971] and KGE_PRIME = [0.70412965]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70046379], KGE = [0.66602343] and KGE_PRIME = [0.70278675]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70141679], KGE = [0.66423874] and KGE_PRIME = [0.70140965]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70155623], KGE = [0.6623513] and KGE_PRIME = [0.70073939]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.7014184], KGE = [0.66063536] and KGE_PRIME = [0.69872563]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70097806], KGE = [0.6584394] and KGE_PRIME = [0.69650764]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70114039], KGE = [0.65635909] and KGE_PRIME = [0.6956191]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70141273], KGE = [0.65489205] and KGE_PRIME = [0.6940918]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70176361], KGE = [0.65405022] and KGE_PRIME = [0.69372871]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70039379], KGE = [0.65134927] and KGE_PRIME = [0.69225702]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69943559], KGE = [0.6494494] and KGE_PRIME = [0.69009727]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70004997], KGE = [0.6479942] and KGE_PRIME = [0.68892545]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.7008153], KGE = [0.64743356] and KGE_PRIME = [0.68794156]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70075214], KGE = [0.64659819] and KGE_PRIME = [0.68741701]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70050542], KGE = [0.64501125] and KGE_PRIME = [0.68716632]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70019356], KGE = [0.64368162] and KGE_PRIME = [0.6859481]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.7005172], KGE = [0.64277237] and KGE_PRIME = [0.68497961]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70026336], KGE = [0.64176497] and KGE_PRIME = [0.68390579]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69996438], KGE = [0.64092265] and KGE_PRIME = [0.68290662]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69949241], KGE = [0.63997069] and KGE_PRIME = [0.68216102]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69953664], KGE = [0.63912787] and KGE_PRIME = [0.68168815]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69929444], KGE = [0.63748302] and KGE_PRIME = [0.68071778]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69938229], KGE = [0.63640031] and KGE_PRIME = [0.67942036]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.699385], KGE = [0.63594444] and KGE_PRIME = [0.67832997]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69890027], KGE = [0.63459321] and KGE_PRIME = [0.67698444]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69882668], KGE = [0.63355898] and KGE_PRIME = [0.67652824]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69771192], KGE = [0.63194733] and KGE_PRIME = [0.6757547]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69721855], KGE = [0.6312572] and KGE_PRIME = [0.6748501]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 145 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '145', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_145_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69673218], KGE = [0.6303334] and KGE_PRIME = [0.6736608]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.42)
NSE = [0.41912309], KGE = [0.68640227] and KGE_PRIME = [0.6884748]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57961985], KGE = [0.72341151] and KGE_PRIME = [0.7470934]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61845761], KGE = [0.721463] and KGE_PRIME = [0.7492023]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64177498], KGE = [0.72076395] and KGE_PRIME = [0.74633339]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65690523], KGE = [0.71299456] and KGE_PRIME = [0.74334311]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66686684], KGE = [0.70735589] and KGE_PRIME = [0.73850333]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67481615], KGE = [0.70382104] and KGE_PRIME = [0.73368101]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68184072], KGE = [0.70220026] and KGE_PRIME = [0.73374556]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68681476], KGE = [0.70241048] and KGE_PRIME = [0.73306706]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69067693], KGE = [0.69909554] and KGE_PRIME = [0.72813282]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69165833], KGE = [0.69471361] and KGE_PRIME = [0.72788267]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69261021], KGE = [0.69035405] and KGE_PRIME = [0.72542116]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69458527], KGE = [0.68884799] and KGE_PRIME = [0.72197675]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69508982], KGE = [0.6855081] and KGE_PRIME = [0.72040953]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69636998], KGE = [0.68399411] and KGE_PRIME = [0.71888114]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69677458], KGE = [0.68085631] and KGE_PRIME = [0.71631737]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69646723], KGE = [0.67718322] and KGE_PRIME = [0.7133807]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69810378], KGE = [0.67499592] and KGE_PRIME = [0.71160642]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.6992504], KGE = [0.6734966] and KGE_PRIME = [0.71008306]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69971555], KGE = [0.6710293] and KGE_PRIME = [0.70850112]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69988694], KGE = [0.66912169] and KGE_PRIME = [0.70700642]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69928154], KGE = [0.66533235] and KGE_PRIME = [0.70571563]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69991525], KGE = [0.66305755] and KGE_PRIME = [0.70507045]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69983011], KGE = [0.66143181] and KGE_PRIME = [0.703903]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69961073], KGE = [0.65975799] and KGE_PRIME = [0.70199157]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.700258], KGE = [0.65827453] and KGE_PRIME = [0.70202042]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69985109], KGE = [0.65698336] and KGE_PRIME = [0.70028993]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70013451], KGE = [0.65433962] and KGE_PRIME = [0.69854861]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69972682], KGE = [0.65205287] and KGE_PRIME = [0.69682213]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69923594], KGE = [0.65101609] and KGE_PRIME = [0.69526039]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69868413], KGE = [0.64865567] and KGE_PRIME = [0.69396461]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69897264], KGE = [0.64715734] and KGE_PRIME = [0.69311316]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69833869], KGE = [0.64528674] and KGE_PRIME = [0.6910291]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69853189], KGE = [0.64400253] and KGE_PRIME = [0.69051681]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69800466], KGE = [0.64285738] and KGE_PRIME = [0.68971]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.696875], KGE = [0.6409755] and KGE_PRIME = [0.6883501]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69708389], KGE = [0.64001919] and KGE_PRIME = [0.68742113]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69716605], KGE = [0.63922738] and KGE_PRIME = [0.68709771]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69731456], KGE = [0.63831263] and KGE_PRIME = [0.68653821]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69752065], KGE = [0.63773102] and KGE_PRIME = [0.68604908]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69690701], KGE = [0.63705538] and KGE_PRIME = [0.68456939]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69733285], KGE = [0.63621983] and KGE_PRIME = [0.68430231]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69726779], KGE = [0.63529621] and KGE_PRIME = [0.68287602]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69703376], KGE = [0.63441893] and KGE_PRIME = [0.68203093]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69656138], KGE = [0.63323446] and KGE_PRIME = [0.6807081]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69606696], KGE = [0.63249892] and KGE_PRIME = [0.67969864]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69590338], KGE = [0.63163562] and KGE_PRIME = [0.67965781]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69595302], KGE = [0.63078754] and KGE_PRIME = [0.67970597]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 150 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '150', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_150_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69580877], KGE = [0.630436] and KGE_PRIME = [0.67879651]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.70, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.43)
NSE = [0.42540242], KGE = [0.68956656] and KGE_PRIME = [0.69113041]
R score: 0.43 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58327559], KGE = [0.72373993] and KGE_PRIME = [0.74959126]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61727055], KGE = [0.72148823] and KGE_PRIME = [0.7472348]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64071089], KGE = [0.71912407] and KGE_PRIME = [0.74546985]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65724157], KGE = [0.71321748] and KGE_PRIME = [0.74497556]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66671331], KGE = [0.70681845] and KGE_PRIME = [0.73989939]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67385612], KGE = [0.70234229] and KGE_PRIME = [0.73458979]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6817007], KGE = [0.70198429] and KGE_PRIME = [0.73506007]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68691654], KGE = [0.70220348] and KGE_PRIME = [0.73364087]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69038015], KGE = [0.69857153] and KGE_PRIME = [0.7297236]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69280389], KGE = [0.69411117] and KGE_PRIME = [0.72835759]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69368339], KGE = [0.6907326] and KGE_PRIME = [0.72631801]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69432965], KGE = [0.68821649] and KGE_PRIME = [0.72176719]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69472664], KGE = [0.68516203] and KGE_PRIME = [0.71925777]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69572705], KGE = [0.68337015] and KGE_PRIME = [0.71974231]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69661954], KGE = [0.67976642] and KGE_PRIME = [0.71773041]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69717123], KGE = [0.67709595] and KGE_PRIME = [0.71368605]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69793964], KGE = [0.67439007] and KGE_PRIME = [0.71222754]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69972888], KGE = [0.67269509] and KGE_PRIME = [0.7111485]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70033381], KGE = [0.67058538] and KGE_PRIME = [0.70908621]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70070515], KGE = [0.66884436] and KGE_PRIME = [0.70803133]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69926177], KGE = [0.66507459] and KGE_PRIME = [0.70681187]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70029124], KGE = [0.66291313] and KGE_PRIME = [0.70561462]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70091486], KGE = [0.66159698] and KGE_PRIME = [0.70557325]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70139438], KGE = [0.65981055] and KGE_PRIME = [0.70390434]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70113756], KGE = [0.65833078] and KGE_PRIME = [0.70271897]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70058752], KGE = [0.65661424] and KGE_PRIME = [0.70073311]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70044461], KGE = [0.65361316] and KGE_PRIME = [0.6984795]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69983572], KGE = [0.65095511] and KGE_PRIME = [0.69711462]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69932585], KGE = [0.65004623] and KGE_PRIME = [0.69534583]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.6990958], KGE = [0.64842042] and KGE_PRIME = [0.6942123]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69897509], KGE = [0.64666009] and KGE_PRIME = [0.69276033]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69914815], KGE = [0.64523382] and KGE_PRIME = [0.69224716]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69939719], KGE = [0.64454086] and KGE_PRIME = [0.69092233]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69907424], KGE = [0.6427299] and KGE_PRIME = [0.690124]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69836524], KGE = [0.64122364] and KGE_PRIME = [0.68904388]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69787707], KGE = [0.64061225] and KGE_PRIME = [0.6887117]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69746118], KGE = [0.63916174] and KGE_PRIME = [0.68733497]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69800428], KGE = [0.63857792] and KGE_PRIME = [0.68695459]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69783857], KGE = [0.63751975] and KGE_PRIME = [0.68694623]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69804281], KGE = [0.63714326] and KGE_PRIME = [0.68565538]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69780468], KGE = [0.63581714] and KGE_PRIME = [0.68464045]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69743149], KGE = [0.63472276] and KGE_PRIME = [0.68378714]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69712032], KGE = [0.63344798] and KGE_PRIME = [0.68300086]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6974496], KGE = [0.63299028] and KGE_PRIME = [0.68229559]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69702082], KGE = [0.63226646] and KGE_PRIME = [0.68095014]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69675248], KGE = [0.63139849] and KGE_PRIME = [0.68038935]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69688986], KGE = [0.63100887] and KGE_PRIME = [0.68076951]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 155 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '155', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_155_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69674999], KGE = [0.62984868] and KGE_PRIME = [0.68004933]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.39)
NSE = [0.38975373], KGE = [0.67729025] and KGE_PRIME = [0.67990949]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.54928661], KGE = [0.70679149] and KGE_PRIME = [0.71923988]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60672528], KGE = [0.71141811] and KGE_PRIME = [0.7290733]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.63073001], KGE = [0.70799602] and KGE_PRIME = [0.72182403]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.65)
NSE = [0.64670677], KGE = [0.70334951] and KGE_PRIME = [0.71874682]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.6589736], KGE = [0.70335365] and KGE_PRIME = [0.71758029]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66182749], KGE = [0.69920018] and KGE_PRIME = [0.71079495]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66339372], KGE = [0.69423209] and KGE_PRIME = [0.70681258]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66526967], KGE = [0.68956971] and KGE_PRIME = [0.69990523]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66778175], KGE = [0.68525093] and KGE_PRIME = [0.69416897]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.6720583], KGE = [0.6814167] and KGE_PRIME = [0.69379859]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67379074], KGE = [0.67789305] and KGE_PRIME = [0.68959869]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67471296], KGE = [0.67288642] and KGE_PRIME = [0.68592917]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67347789], KGE = [0.66923291] and KGE_PRIME = [0.68484283]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67388368], KGE = [0.66448298] and KGE_PRIME = [0.68016061]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67469745], KGE = [0.6623738] and KGE_PRIME = [0.67987961]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67445063], KGE = [0.65969266] and KGE_PRIME = [0.6770767]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67533202], KGE = [0.65748189] and KGE_PRIME = [0.6761417]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67561042], KGE = [0.6549595] and KGE_PRIME = [0.67432197]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67511531], KGE = [0.6528081] and KGE_PRIME = [0.67315635]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67570094], KGE = [0.65190449] and KGE_PRIME = [0.67075652]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67565402], KGE = [0.65026356] and KGE_PRIME = [0.6697704]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67559993], KGE = [0.64857541] and KGE_PRIME = [0.66842853]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67552799], KGE = [0.64604865] and KGE_PRIME = [0.66831009]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67463886], KGE = [0.64446049] and KGE_PRIME = [0.66717257]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67421168], KGE = [0.64224826] and KGE_PRIME = [0.66610627]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67404985], KGE = [0.64084183] and KGE_PRIME = [0.66452211]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67423645], KGE = [0.64024748] and KGE_PRIME = [0.66519987]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.6743065], KGE = [0.63937696] and KGE_PRIME = [0.66358393]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67420384], KGE = [0.63825108] and KGE_PRIME = [0.66215975]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67443443], KGE = [0.63688651] and KGE_PRIME = [0.66004641]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67386049], KGE = [0.63521479] and KGE_PRIME = [0.65832481]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67343803], KGE = [0.6337991] and KGE_PRIME = [0.65657696]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67280998], KGE = [0.63227127] and KGE_PRIME = [0.65562026]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67243735], KGE = [0.63128153] and KGE_PRIME = [0.65418187]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67311619], KGE = [0.63070818] and KGE_PRIME = [0.65430253]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67303505], KGE = [0.63037518] and KGE_PRIME = [0.65310765]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67339342], KGE = [0.62905388] and KGE_PRIME = [0.65277692]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67289498], KGE = [0.62752954] and KGE_PRIME = [0.65135853]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67248994], KGE = [0.62651988] and KGE_PRIME = [0.64980698]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67240756], KGE = [0.62503258] and KGE_PRIME = [0.64892655]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67202233], KGE = [0.62378239] and KGE_PRIME = [0.64713971]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.6714018], KGE = [0.62225688] and KGE_PRIME = [0.64567129]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67127794], KGE = [0.62116373] and KGE_PRIME = [0.64449156]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67078949], KGE = [0.61991416] and KGE_PRIME = [0.64439847]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67005923], KGE = [0.61873756] and KGE_PRIME = [0.64420074]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66952986], KGE = [0.61756527] and KGE_PRIME = [0.64385524]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66934865], KGE = [0.61704809] and KGE_PRIME = [0.64396478]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 160 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '160', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_160_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66886265], KGE = [0.61563433] and KGE_PRIME = [0.64276701]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.69, 0.39)
NSE = [0.39463947], KGE = [0.6758668] and KGE_PRIME = [0.67606015]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.55487081], KGE = [0.71141728] and KGE_PRIME = [0.73523906]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61318297], KGE = [0.71602209] and KGE_PRIME = [0.74783712]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.65)
NSE = [0.64609845], KGE = [0.71795122] and KGE_PRIME = [0.74925318]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.66099294], KGE = [0.7108338] and KGE_PRIME = [0.74592322]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66810622], KGE = [0.70752189] and KGE_PRIME = [0.74179428]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.68)
NSE = [0.67606472], KGE = [0.70339932] and KGE_PRIME = [0.73942604]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68010758], KGE = [0.70008229] and KGE_PRIME = [0.73452192]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68434219], KGE = [0.69733139] and KGE_PRIME = [0.73389426]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68775417], KGE = [0.69317282] and KGE_PRIME = [0.73235332]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69048277], KGE = [0.69007448] and KGE_PRIME = [0.72846728]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6932701], KGE = [0.68635666] and KGE_PRIME = [0.72606525]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69479101], KGE = [0.68274367] and KGE_PRIME = [0.72218498]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69545067], KGE = [0.68052114] and KGE_PRIME = [0.71926837]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69777833], KGE = [0.67800242] and KGE_PRIME = [0.71824385]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69858148], KGE = [0.67509448] and KGE_PRIME = [0.71418558]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70034986], KGE = [0.67268688] and KGE_PRIME = [0.71227708]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.700679], KGE = [0.67006258] and KGE_PRIME = [0.71020219]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70073262], KGE = [0.66819252] and KGE_PRIME = [0.70939057]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70042273], KGE = [0.66558969] and KGE_PRIME = [0.70826749]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70148229], KGE = [0.66394577] and KGE_PRIME = [0.7060414]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.7026654], KGE = [0.66241382] and KGE_PRIME = [0.70496372]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70332749], KGE = [0.66065958] and KGE_PRIME = [0.70241392]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70382791], KGE = [0.65998822] and KGE_PRIME = [0.70243966]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70462672], KGE = [0.65803826] and KGE_PRIME = [0.70233223]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70414598], KGE = [0.6560034] and KGE_PRIME = [0.70054145]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70434301], KGE = [0.65451161] and KGE_PRIME = [0.69952364]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70462714], KGE = [0.65295577] and KGE_PRIME = [0.69841497]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70555247], KGE = [0.6515558] and KGE_PRIME = [0.6983398]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.7059105], KGE = [0.65031873] and KGE_PRIME = [0.6968494]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70526614], KGE = [0.64866421] and KGE_PRIME = [0.69490715]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70572274], KGE = [0.6483945] and KGE_PRIME = [0.69381006]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70514321], KGE = [0.64640389] and KGE_PRIME = [0.6924513]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70469792], KGE = [0.64504157] and KGE_PRIME = [0.69096011]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70466197], KGE = [0.64416408] and KGE_PRIME = [0.69077788]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70448293], KGE = [0.64285639] and KGE_PRIME = [0.69021069]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70364742], KGE = [0.640895] and KGE_PRIME = [0.68940659]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70312829], KGE = [0.63945631] and KGE_PRIME = [0.6884804]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70203338], KGE = [0.63847626] and KGE_PRIME = [0.68671929]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.7019588], KGE = [0.63720507] and KGE_PRIME = [0.68498374]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70184016], KGE = [0.63538945] and KGE_PRIME = [0.68431106]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70109995], KGE = [0.63373769] and KGE_PRIME = [0.68315251]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70062091], KGE = [0.63239709] and KGE_PRIME = [0.68164783]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70004141], KGE = [0.63093951] and KGE_PRIME = [0.68092136]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69887488], KGE = [0.62933883] and KGE_PRIME = [0.67963597]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69786275], KGE = [0.62799647] and KGE_PRIME = [0.67888263]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69774295], KGE = [0.62696881] and KGE_PRIME = [0.67808879]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69700801], KGE = [0.62528024] and KGE_PRIME = [0.67682019]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 165 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '165', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_165_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69629386], KGE = [0.62359429] and KGE_PRIME = [0.67613364]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.39)
NSE = [0.38643266], KGE = [0.67295491] and KGE_PRIME = [0.67619455]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.54945491], KGE = [0.71234159] and KGE_PRIME = [0.71855376]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60460192], KGE = [0.71265179] and KGE_PRIME = [0.72898638]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.62880126], KGE = [0.70574487] and KGE_PRIME = [0.72562122]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64360024], KGE = [0.70478238] and KGE_PRIME = [0.72210055]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64985485], KGE = [0.69896096] and KGE_PRIME = [0.71169922]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65891603], KGE = [0.69496624] and KGE_PRIME = [0.70611483]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66365423], KGE = [0.68920299] and KGE_PRIME = [0.70651673]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66372525], KGE = [0.68258538] and KGE_PRIME = [0.69875149]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66672087], KGE = [0.67972421] and KGE_PRIME = [0.69565082]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66769594], KGE = [0.67497312] and KGE_PRIME = [0.68975554]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67144176], KGE = [0.67230651] and KGE_PRIME = [0.68504098]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67187781], KGE = [0.66871431] and KGE_PRIME = [0.68323836]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67349288], KGE = [0.66612288] and KGE_PRIME = [0.68236133]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67462724], KGE = [0.66425322] and KGE_PRIME = [0.68091213]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67465845], KGE = [0.66166583] and KGE_PRIME = [0.67582811]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67392969], KGE = [0.65875473] and KGE_PRIME = [0.67389691]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67325093], KGE = [0.6556608] and KGE_PRIME = [0.66952993]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67383526], KGE = [0.65244079] and KGE_PRIME = [0.66996606]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6722396], KGE = [0.65001541] and KGE_PRIME = [0.6655312]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6716139], KGE = [0.64776717] and KGE_PRIME = [0.66352361]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6731437], KGE = [0.6471579] and KGE_PRIME = [0.6650938]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67341484], KGE = [0.64587972] and KGE_PRIME = [0.66409784]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67312273], KGE = [0.6439731] and KGE_PRIME = [0.66275008]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67290083], KGE = [0.64241368] and KGE_PRIME = [0.66221957]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67307168], KGE = [0.64157725] and KGE_PRIME = [0.66084388]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6734718], KGE = [0.64097466] and KGE_PRIME = [0.66095589]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.6737265], KGE = [0.63977176] and KGE_PRIME = [0.66108928]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67330404], KGE = [0.63837381] and KGE_PRIME = [0.66138098]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67214979], KGE = [0.63686392] and KGE_PRIME = [0.657839]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.6721498], KGE = [0.63566271] and KGE_PRIME = [0.65666236]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6705001], KGE = [0.63356343] and KGE_PRIME = [0.65413147]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67005735], KGE = [0.63216328] and KGE_PRIME = [0.65276259]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67034139], KGE = [0.63123196] and KGE_PRIME = [0.65300471]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66982582], KGE = [0.6299469] and KGE_PRIME = [0.65114137]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66936124], KGE = [0.62870594] and KGE_PRIME = [0.6510504]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66840654], KGE = [0.62702055] and KGE_PRIME = [0.64928102]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66839088], KGE = [0.62557478] and KGE_PRIME = [0.64907549]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66862638], KGE = [0.62460941] and KGE_PRIME = [0.64833453]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66854026], KGE = [0.62357665] and KGE_PRIME = [0.6487761]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66807091], KGE = [0.6227483] and KGE_PRIME = [0.64748973]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66716759], KGE = [0.62101536] and KGE_PRIME = [0.64705107]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66704091], KGE = [0.61951944] and KGE_PRIME = [0.64636813]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66733273], KGE = [0.61851315] and KGE_PRIME = [0.64548997]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.6668529], KGE = [0.61762912] and KGE_PRIME = [0.64468911]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66671166], KGE = [0.61674583] and KGE_PRIME = [0.64370172]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66606441], KGE = [0.61513799] and KGE_PRIME = [0.64267951]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66615176], KGE = [0.61489246] and KGE_PRIME = [0.64223884]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 170 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '170', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_170_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66539537], KGE = [0.61385643] and KGE_PRIME = [0.64200689]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.68, 0.37)
NSE = [0.37356509], KGE = [0.67463212] and KGE_PRIME = [0.67450793]
R score: 0.37 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.54702745], KGE = [0.71260361] and KGE_PRIME = [0.73312971]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60861813], KGE = [0.71827125] and KGE_PRIME = [0.74062078]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64485839], KGE = [0.71934602] and KGE_PRIME = [0.74536653]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.6598145], KGE = [0.7137452] and KGE_PRIME = [0.74447323]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66821952], KGE = [0.7079883] and KGE_PRIME = [0.73997585]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67891609], KGE = [0.70632599] and KGE_PRIME = [0.73676565]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68338659], KGE = [0.7004677] and KGE_PRIME = [0.73836702]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68810199], KGE = [0.69715614] and KGE_PRIME = [0.73460592]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69008732], KGE = [0.69195967] and KGE_PRIME = [0.73130315]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69182199], KGE = [0.68990063] and KGE_PRIME = [0.72633976]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69606644], KGE = [0.68815542] and KGE_PRIME = [0.72363343]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.6966769], KGE = [0.68339567] and KGE_PRIME = [0.7207295]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69907461], KGE = [0.68091761] and KGE_PRIME = [0.71799961]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70024198], KGE = [0.67760828] and KGE_PRIME = [0.71537855]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70091169], KGE = [0.67548753] and KGE_PRIME = [0.71357448]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70191585], KGE = [0.67265189] and KGE_PRIME = [0.71202869]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70185504], KGE = [0.66878699] and KGE_PRIME = [0.70905302]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70292321], KGE = [0.66650784] and KGE_PRIME = [0.70787681]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70414628], KGE = [0.66418769] and KGE_PRIME = [0.70624315]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70464228], KGE = [0.66198895] and KGE_PRIME = [0.70701831]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.7041793], KGE = [0.66056162] and KGE_PRIME = [0.70392666]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.7039288], KGE = [0.65831549] and KGE_PRIME = [0.70096068]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70416659], KGE = [0.65723353] and KGE_PRIME = [0.70007246]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70418821], KGE = [0.6563177] and KGE_PRIME = [0.69828375]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70459865], KGE = [0.65501111] and KGE_PRIME = [0.69739297]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70449282], KGE = [0.65320283] and KGE_PRIME = [0.6957425]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70576578], KGE = [0.65216164] and KGE_PRIME = [0.69663077]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70623066], KGE = [0.65035346] and KGE_PRIME = [0.69602794]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70684676], KGE = [0.64977261] and KGE_PRIME = [0.69540852]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70566416], KGE = [0.64728565] and KGE_PRIME = [0.69345234]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70495509], KGE = [0.64536416] and KGE_PRIME = [0.69220092]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70459373], KGE = [0.64359294] and KGE_PRIME = [0.69155892]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70342247], KGE = [0.64124278] and KGE_PRIME = [0.69147534]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70356487], KGE = [0.64004204] and KGE_PRIME = [0.6896128]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70320226], KGE = [0.63839658] and KGE_PRIME = [0.68922618]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70304847], KGE = [0.63695776] and KGE_PRIME = [0.68794783]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70225701], KGE = [0.63553067] and KGE_PRIME = [0.68619379]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70254776], KGE = [0.63495687] and KGE_PRIME = [0.68547473]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70195355], KGE = [0.63387228] and KGE_PRIME = [0.68399963]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.7016716], KGE = [0.63283452] and KGE_PRIME = [0.68259642]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70115241], KGE = [0.63188451] and KGE_PRIME = [0.68094738]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70056131], KGE = [0.63064057] and KGE_PRIME = [0.67992979]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.7000843], KGE = [0.62937059] and KGE_PRIME = [0.67874143]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70008585], KGE = [0.62824032] and KGE_PRIME = [0.6781177]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69937081], KGE = [0.62689538] and KGE_PRIME = [0.67717007]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69898917], KGE = [0.62562603] and KGE_PRIME = [0.67678129]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69911497], KGE = [0.62509508] and KGE_PRIME = [0.67628871]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 175 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '175', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_175_winds_gradients_1D_tl3.nc
PCs loaded from file
19 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69859563], KGE = [0.62362846] and KGE_PRIME = [0.67574583]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.39)
NSE = [0.38804943], KGE = [0.67359153] and KGE_PRIME = [0.67353652]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.55344357], KGE = [0.70461785] and KGE_PRIME = [0.73216343]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61302556], KGE = [0.71427302] and KGE_PRIME = [0.74830302]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64316789], KGE = [0.71328744] and KGE_PRIME = [0.74878042]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.6582888], KGE = [0.70943549] and KGE_PRIME = [0.7447329]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66690093], KGE = [0.70289002] and KGE_PRIME = [0.74269003]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67308051], KGE = [0.70011086] and KGE_PRIME = [0.73884842]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67593953], KGE = [0.69444223] and KGE_PRIME = [0.73589907]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6815196], KGE = [0.69288529] and KGE_PRIME = [0.73486314]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68400714], KGE = [0.68865404] and KGE_PRIME = [0.73155933]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68874568], KGE = [0.68622864] and KGE_PRIME = [0.73031934]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69205225], KGE = [0.68227493] and KGE_PRIME = [0.72567251]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69397631], KGE = [0.67995669] and KGE_PRIME = [0.72344579]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69443556], KGE = [0.67794926] and KGE_PRIME = [0.72193506]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69738987], KGE = [0.67626711] and KGE_PRIME = [0.71843346]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69784416], KGE = [0.67318869] and KGE_PRIME = [0.71422211]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69798142], KGE = [0.66975775] and KGE_PRIME = [0.71277282]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69915353], KGE = [0.6683311] and KGE_PRIME = [0.71147505]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69815496], KGE = [0.66551386] and KGE_PRIME = [0.71031205]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69935946], KGE = [0.66301021] and KGE_PRIME = [0.70989684]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.7007398], KGE = [0.66172477] and KGE_PRIME = [0.70782026]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70040067], KGE = [0.65935453] and KGE_PRIME = [0.70627181]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70044202], KGE = [0.65697409] and KGE_PRIME = [0.70411458]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70191402], KGE = [0.65645268] and KGE_PRIME = [0.7040892]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70293942], KGE = [0.65518067] and KGE_PRIME = [0.70259815]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70266337], KGE = [0.65341039] and KGE_PRIME = [0.70192032]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70230703], KGE = [0.65195199] and KGE_PRIME = [0.70042911]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.7028394], KGE = [0.65075597] and KGE_PRIME = [0.69831064]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.7037462], KGE = [0.64964436] and KGE_PRIME = [0.69921761]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70358085], KGE = [0.6475367] and KGE_PRIME = [0.69747346]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70369328], KGE = [0.64616954] and KGE_PRIME = [0.69585493]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70356296], KGE = [0.64502664] and KGE_PRIME = [0.69502247]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70355298], KGE = [0.64367558] and KGE_PRIME = [0.69477747]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70338113], KGE = [0.64300709] and KGE_PRIME = [0.69310509]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.7031664], KGE = [0.64216097] and KGE_PRIME = [0.69172305]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.7028581], KGE = [0.64072158] and KGE_PRIME = [0.69170172]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.7017038], KGE = [0.63921814] and KGE_PRIME = [0.69057374]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.7020246], KGE = [0.63786653] and KGE_PRIME = [0.69040251]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70118478], KGE = [0.63605983] and KGE_PRIME = [0.68924192]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70074784], KGE = [0.63455219] and KGE_PRIME = [0.68789961]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70012329], KGE = [0.63312772] and KGE_PRIME = [0.68704198]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69949011], KGE = [0.63176813] and KGE_PRIME = [0.68542906]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69889593], KGE = [0.62986697] and KGE_PRIME = [0.68380642]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69844448], KGE = [0.62872304] and KGE_PRIME = [0.68307166]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69757798], KGE = [0.62743247] and KGE_PRIME = [0.68202195]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6969386], KGE = [0.62589716] and KGE_PRIME = [0.68098706]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69619375], KGE = [0.62466943] and KGE_PRIME = [0.67991184]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69511421], KGE = [0.62293068] and KGE_PRIME = [0.67850086]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 180 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '180', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_180_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.694696], KGE = [0.6215198] and KGE_PRIME = [0.67748867]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.39)
NSE = [0.38523019], KGE = [0.67308067] and KGE_PRIME = [0.67204153]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.55257539], KGE = [0.70435349] and KGE_PRIME = [0.7322095]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61340967], KGE = [0.71326063] and KGE_PRIME = [0.7496953]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64393912], KGE = [0.71336949] and KGE_PRIME = [0.75053626]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65856256], KGE = [0.70935117] and KGE_PRIME = [0.74438246]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66636677], KGE = [0.70321552] and KGE_PRIME = [0.74345388]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67336027], KGE = [0.69956276] and KGE_PRIME = [0.74025303]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67652758], KGE = [0.69532592] and KGE_PRIME = [0.73807828]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6814769], KGE = [0.69210196] and KGE_PRIME = [0.7355586]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68380291], KGE = [0.68901829] and KGE_PRIME = [0.7337135]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6878703], KGE = [0.68505344] and KGE_PRIME = [0.73006004]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69164762], KGE = [0.6822517] and KGE_PRIME = [0.72625089]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69347573], KGE = [0.67884722] and KGE_PRIME = [0.72456229]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69533413], KGE = [0.67815346] and KGE_PRIME = [0.72256781]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.6967071], KGE = [0.67560742] and KGE_PRIME = [0.71925219]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69754003], KGE = [0.67307022] and KGE_PRIME = [0.71573556]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69760119], KGE = [0.66927014] and KGE_PRIME = [0.7140934]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69834271], KGE = [0.667376] and KGE_PRIME = [0.71205742]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69892887], KGE = [0.66552205] and KGE_PRIME = [0.71216128]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69933485], KGE = [0.66260957] and KGE_PRIME = [0.71072865]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70098988], KGE = [0.66114306] and KGE_PRIME = [0.70931607]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70048496], KGE = [0.65821554] and KGE_PRIME = [0.70724183]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70097004], KGE = [0.65671796] and KGE_PRIME = [0.70432659]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70188985], KGE = [0.65584336] and KGE_PRIME = [0.70449695]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70232683], KGE = [0.65434958] and KGE_PRIME = [0.70339554]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70276783], KGE = [0.65283884] and KGE_PRIME = [0.70341161]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.7025632], KGE = [0.65106653] and KGE_PRIME = [0.70139197]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70315526], KGE = [0.65018825] and KGE_PRIME = [0.70052917]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.703575], KGE = [0.64902366] and KGE_PRIME = [0.6996767]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70328154], KGE = [0.64706401] and KGE_PRIME = [0.69869419]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70341562], KGE = [0.64555972] and KGE_PRIME = [0.6970412]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70407446], KGE = [0.64485038] and KGE_PRIME = [0.69639497]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70385034], KGE = [0.64332401] and KGE_PRIME = [0.6961797]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70368673], KGE = [0.6425029] and KGE_PRIME = [0.69445633]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70346462], KGE = [0.64154154] and KGE_PRIME = [0.69371485]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70276456], KGE = [0.6401163] and KGE_PRIME = [0.69310633]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70193237], KGE = [0.63890769] and KGE_PRIME = [0.69143791]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70173919], KGE = [0.63721396] and KGE_PRIME = [0.69133471]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70139048], KGE = [0.63542123] and KGE_PRIME = [0.69045643]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70049722], KGE = [0.63350837] and KGE_PRIME = [0.68895898]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70008504], KGE = [0.63259117] and KGE_PRIME = [0.68769677]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69922967], KGE = [0.63090789] and KGE_PRIME = [0.6866902]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69874809], KGE = [0.62947949] and KGE_PRIME = [0.68530243]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69815737], KGE = [0.6274851] and KGE_PRIME = [0.68422167]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69752134], KGE = [0.62671462] and KGE_PRIME = [0.68321002]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69666479], KGE = [0.62533068] and KGE_PRIME = [0.68191697]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6956986], KGE = [0.6239743] and KGE_PRIME = [0.68055152]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69500825], KGE = [0.6223573] and KGE_PRIME = [0.67990838]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 185 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '185', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_185_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69471478], KGE = [0.62126678] and KGE_PRIME = [0.6789093]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.38)
NSE = [0.38241113], KGE = [0.66914248] and KGE_PRIME = [0.67263506]
R score: 0.38 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.54)
NSE = [0.54402023], KGE = [0.70815964] and KGE_PRIME = [0.714724]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59889401], KGE = [0.70777392] and KGE_PRIME = [0.72295126]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62265716], KGE = [0.70275113] and KGE_PRIME = [0.72011027]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64129051], KGE = [0.70006549] and KGE_PRIME = [0.71833007]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64926182], KGE = [0.69579225] and KGE_PRIME = [0.70903528]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65461321], KGE = [0.69083819] and KGE_PRIME = [0.70517591]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66040341], KGE = [0.68570037] and KGE_PRIME = [0.70417659]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66287], KGE = [0.6798751] and KGE_PRIME = [0.69588266]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66447918], KGE = [0.67615506] and KGE_PRIME = [0.69241955]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.6666405], KGE = [0.67232831] and KGE_PRIME = [0.68922113]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66972241], KGE = [0.66888123] and KGE_PRIME = [0.68458857]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66906337], KGE = [0.66594383] and KGE_PRIME = [0.68404067]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67103], KGE = [0.66341382] and KGE_PRIME = [0.68101661]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67248348], KGE = [0.66117264] and KGE_PRIME = [0.67836388]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67259353], KGE = [0.65802557] and KGE_PRIME = [0.67633372]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67209513], KGE = [0.65613751] and KGE_PRIME = [0.67237773]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67096767], KGE = [0.65230237] and KGE_PRIME = [0.66754387]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6716356], KGE = [0.64984851] and KGE_PRIME = [0.66726226]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66956799], KGE = [0.6469236] and KGE_PRIME = [0.66475227]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66997417], KGE = [0.64484073] and KGE_PRIME = [0.66385859]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67119324], KGE = [0.64388741] and KGE_PRIME = [0.66441449]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6709165], KGE = [0.6424766] and KGE_PRIME = [0.66399496]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67049319], KGE = [0.6403156] and KGE_PRIME = [0.66183743]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67010808], KGE = [0.63867323] and KGE_PRIME = [0.66035387]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6704206], KGE = [0.63815475] and KGE_PRIME = [0.65963907]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67169942], KGE = [0.63805523] and KGE_PRIME = [0.65913871]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67097629], KGE = [0.63577377] and KGE_PRIME = [0.65886577]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6708804], KGE = [0.63484798] and KGE_PRIME = [0.65859768]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66986964], KGE = [0.63332938] and KGE_PRIME = [0.6570837]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66888687], KGE = [0.6318796] and KGE_PRIME = [0.65581284]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66743883], KGE = [0.62989068] and KGE_PRIME = [0.65295095]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66755195], KGE = [0.62869781] and KGE_PRIME = [0.65233434]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6678928], KGE = [0.62753685] and KGE_PRIME = [0.65218946]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66766541], KGE = [0.62653031] and KGE_PRIME = [0.65060456]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66696339], KGE = [0.62537325] and KGE_PRIME = [0.64959673]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66711999], KGE = [0.62426123] and KGE_PRIME = [0.64864181]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66634343], KGE = [0.62237523] and KGE_PRIME = [0.64783778]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.665918], KGE = [0.62148168] and KGE_PRIME = [0.64674551]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66570261], KGE = [0.6203128] and KGE_PRIME = [0.64651922]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66567328], KGE = [0.61938371] and KGE_PRIME = [0.64663953]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66529022], KGE = [0.61778683] and KGE_PRIME = [0.64566314]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.66468677], KGE = [0.61633193] and KGE_PRIME = [0.64500984]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.66)
NSE = [0.6648215], KGE = [0.61523396] and KGE_PRIME = [0.64396811]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.66)
NSE = [0.66449742], KGE = [0.61436957] and KGE_PRIME = [0.64384286]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.66)
NSE = [0.66402104], KGE = [0.61325009] and KGE_PRIME = [0.64275996]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.66)
NSE = [0.66379021], KGE = [0.61223885] and KGE_PRIME = [0.64210756]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.6630116], KGE = [0.61131418] and KGE_PRIME = [0.64127068]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 190 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '190', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_190_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.66)
NSE = [0.66291108], KGE = [0.61007512] and KGE_PRIME = [0.64077678]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.39)
NSE = [0.38982496], KGE = [0.6761659] and KGE_PRIME = [0.67645523]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.55411819], KGE = [0.70545136] and KGE_PRIME = [0.73310672]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61466131], KGE = [0.7191249] and KGE_PRIME = [0.75283594]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64917248], KGE = [0.71439122] and KGE_PRIME = [0.75381363]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65713363], KGE = [0.71105512] and KGE_PRIME = [0.74419467]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66869972], KGE = [0.70607371] and KGE_PRIME = [0.7473697]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67377259], KGE = [0.70112548] and KGE_PRIME = [0.7414627]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67806758], KGE = [0.69840619] and KGE_PRIME = [0.73974656]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68286085], KGE = [0.69527673] and KGE_PRIME = [0.73827475]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68612843], KGE = [0.69208883] and KGE_PRIME = [0.73515435]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6897696], KGE = [0.68952777] and KGE_PRIME = [0.73166043]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69203999], KGE = [0.6851206] and KGE_PRIME = [0.72853201]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6943252], KGE = [0.68230776] and KGE_PRIME = [0.72519862]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69632824], KGE = [0.68036322] and KGE_PRIME = [0.72356353]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69803707], KGE = [0.6775175] and KGE_PRIME = [0.72068453]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69849297], KGE = [0.67476806] and KGE_PRIME = [0.71736586]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69745677], KGE = [0.67088064] and KGE_PRIME = [0.71544082]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69755092], KGE = [0.6676492] and KGE_PRIME = [0.71368326]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69869133], KGE = [0.66650025] and KGE_PRIME = [0.71326364]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69936865], KGE = [0.66463411] and KGE_PRIME = [0.71137009]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70143513], KGE = [0.66346414] and KGE_PRIME = [0.71042068]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70147671], KGE = [0.66049725] and KGE_PRIME = [0.7082484]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70165146], KGE = [0.65875846] and KGE_PRIME = [0.7063625]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70180652], KGE = [0.65755857] and KGE_PRIME = [0.70574531]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70371882], KGE = [0.6560088] and KGE_PRIME = [0.70484786]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70395964], KGE = [0.65476606] and KGE_PRIME = [0.70365836]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70371076], KGE = [0.65304265] and KGE_PRIME = [0.70216273]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70407486], KGE = [0.65217077] and KGE_PRIME = [0.70219618]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70498006], KGE = [0.65166353] and KGE_PRIME = [0.7018828]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70443752], KGE = [0.64906484] and KGE_PRIME = [0.70017677]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70426516], KGE = [0.64725259] and KGE_PRIME = [0.69877586]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70448521], KGE = [0.64627982] and KGE_PRIME = [0.69695207]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70480721], KGE = [0.64580523] and KGE_PRIME = [0.69693145]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70429319], KGE = [0.64486357] and KGE_PRIME = [0.69503333]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70456852], KGE = [0.64357611] and KGE_PRIME = [0.6945565]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70396204], KGE = [0.64203156] and KGE_PRIME = [0.69415651]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70323339], KGE = [0.64083951] and KGE_PRIME = [0.6929286]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70288692], KGE = [0.63945415] and KGE_PRIME = [0.6922282]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70231571], KGE = [0.63775833] and KGE_PRIME = [0.69149961]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70209154], KGE = [0.63618441] and KGE_PRIME = [0.69041305]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70128805], KGE = [0.63471549] and KGE_PRIME = [0.68892652]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70023995], KGE = [0.63256612] and KGE_PRIME = [0.68792318]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69946956], KGE = [0.63146649] and KGE_PRIME = [0.68655406]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69864472], KGE = [0.62942536] and KGE_PRIME = [0.68515904]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69752348], KGE = [0.62777896] and KGE_PRIME = [0.68404179]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69702546], KGE = [0.62687714] and KGE_PRIME = [0.68357574]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69625646], KGE = [0.62520121] and KGE_PRIME = [0.68272358]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69604768], KGE = [0.62436069] and KGE_PRIME = [0.68190063]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 195 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '195', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_195_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69593529], KGE = [0.62344709] and KGE_PRIME = [0.68061686]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.38)
NSE = [0.37794283], KGE = [0.67318846] and KGE_PRIME = [0.67409536]
R score: 0.38 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.54655798], KGE = [0.71455521] and KGE_PRIME = [0.73346699]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.6037498], KGE = [0.71900648] and KGE_PRIME = [0.73923811]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63867082], KGE = [0.71492614] and KGE_PRIME = [0.74557136]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.6602477], KGE = [0.71401917] and KGE_PRIME = [0.74946043]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67003367], KGE = [0.70963303] and KGE_PRIME = [0.74382232]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67875802], KGE = [0.70598917] and KGE_PRIME = [0.73955132]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6844678], KGE = [0.70202583] and KGE_PRIME = [0.74188108]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.6863226], KGE = [0.69443354] and KGE_PRIME = [0.7347803]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69115029], KGE = [0.69088388] and KGE_PRIME = [0.73414454]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69386538], KGE = [0.688383] and KGE_PRIME = [0.73174476]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.6965306], KGE = [0.68520578] and KGE_PRIME = [0.72820005]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69776803], KGE = [0.68305678] and KGE_PRIME = [0.72416729]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70007367], KGE = [0.68116564] and KGE_PRIME = [0.72244225]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70128082], KGE = [0.67887645] and KGE_PRIME = [0.71948499]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70099856], KGE = [0.67613739] and KGE_PRIME = [0.71547883]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70363906], KGE = [0.67356895] and KGE_PRIME = [0.71345736]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70380957], KGE = [0.6701968] and KGE_PRIME = [0.71182983]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70415783], KGE = [0.66757562] and KGE_PRIME = [0.71043346]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70432659], KGE = [0.66404915] and KGE_PRIME = [0.71011613]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70494532], KGE = [0.66292063] and KGE_PRIME = [0.70805069]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70482873], KGE = [0.66144377] and KGE_PRIME = [0.70640151]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70557152], KGE = [0.66024492] and KGE_PRIME = [0.70484912]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.7050543], KGE = [0.65739973] and KGE_PRIME = [0.70330537]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70486387], KGE = [0.65570828] and KGE_PRIME = [0.70289943]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70388803], KGE = [0.65306085] and KGE_PRIME = [0.7004333]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70496016], KGE = [0.65245249] and KGE_PRIME = [0.69986222]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70612145], KGE = [0.65201705] and KGE_PRIME = [0.69834557]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70521039], KGE = [0.64991529] and KGE_PRIME = [0.69697075]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70564301], KGE = [0.64851107] and KGE_PRIME = [0.69675375]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70590501], KGE = [0.64698008] and KGE_PRIME = [0.6963775]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70510752], KGE = [0.64508469] and KGE_PRIME = [0.69527382]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.7047267], KGE = [0.64352419] and KGE_PRIME = [0.69490974]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70407141], KGE = [0.64259161] and KGE_PRIME = [0.69323096]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70443107], KGE = [0.64149841] and KGE_PRIME = [0.69282094]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.7039899], KGE = [0.63980602] and KGE_PRIME = [0.69124464]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70395831], KGE = [0.63848294] and KGE_PRIME = [0.69045262]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70443832], KGE = [0.63773748] and KGE_PRIME = [0.68999182]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70422399], KGE = [0.63679075] and KGE_PRIME = [0.68905527]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70370001], KGE = [0.6348514] and KGE_PRIME = [0.68772214]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70327295], KGE = [0.63364983] and KGE_PRIME = [0.68607329]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70231589], KGE = [0.63171714] and KGE_PRIME = [0.68547719]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70227215], KGE = [0.63084894] and KGE_PRIME = [0.68526253]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.7014944], KGE = [0.62946902] and KGE_PRIME = [0.68400144]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70134983], KGE = [0.62852539] and KGE_PRIME = [0.68265084]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70056837], KGE = [0.62686762] and KGE_PRIME = [0.68170918]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70025733], KGE = [0.62530494] and KGE_PRIME = [0.68094445]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70011303], KGE = [0.62478961] and KGE_PRIME = [0.67980072]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 200 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '200', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_200_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69942754], KGE = [0.62339499] and KGE_PRIME = [0.67889184]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.69, 0.39)
NSE = [0.39075672], KGE = [0.68542713] and KGE_PRIME = [0.68585205]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.5552582], KGE = [0.71586907] and KGE_PRIME = [0.73712717]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61006724], KGE = [0.72278956] and KGE_PRIME = [0.74168616]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63752494], KGE = [0.7197556] and KGE_PRIME = [0.74539615]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.66263322], KGE = [0.72061305] and KGE_PRIME = [0.74922304]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67324675], KGE = [0.71450785] and KGE_PRIME = [0.74283448]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68204161], KGE = [0.70969715] and KGE_PRIME = [0.74124702]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68794313], KGE = [0.70560044] and KGE_PRIME = [0.74197818]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68981901], KGE = [0.70080655] and KGE_PRIME = [0.73768927]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69587457], KGE = [0.69842832] and KGE_PRIME = [0.73735961]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69921136], KGE = [0.69554687] and KGE_PRIME = [0.73477078]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69985111], KGE = [0.69067805] and KGE_PRIME = [0.72894555]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70076128], KGE = [0.68777982] and KGE_PRIME = [0.72847954]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70355218], KGE = [0.68670198] and KGE_PRIME = [0.72563385]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70496007], KGE = [0.68384951] and KGE_PRIME = [0.72395699]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70584045], KGE = [0.68046365] and KGE_PRIME = [0.72072515]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70696366], KGE = [0.67779042] and KGE_PRIME = [0.71770612]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70773938], KGE = [0.67558252] and KGE_PRIME = [0.71455594]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70751013], KGE = [0.67267263] and KGE_PRIME = [0.71305204]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70796007], KGE = [0.66955967] and KGE_PRIME = [0.71180353]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70917186], KGE = [0.66869998] and KGE_PRIME = [0.71025527]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70900908], KGE = [0.66614884] and KGE_PRIME = [0.7101756]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70882311], KGE = [0.66512365] and KGE_PRIME = [0.71011666]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70867706], KGE = [0.66382503] and KGE_PRIME = [0.70951043]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70928516], KGE = [0.66237515] and KGE_PRIME = [0.70798208]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70899525], KGE = [0.66035194] and KGE_PRIME = [0.70668387]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70968303], KGE = [0.65938736] and KGE_PRIME = [0.70572325]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70924619], KGE = [0.65768119] and KGE_PRIME = [0.70413064]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70861284], KGE = [0.65589551] and KGE_PRIME = [0.70275693]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70765057], KGE = [0.65441635] and KGE_PRIME = [0.7011763]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70772568], KGE = [0.6528895] and KGE_PRIME = [0.70031521]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70763704], KGE = [0.65095612] and KGE_PRIME = [0.70000017]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70623964], KGE = [0.64908383] and KGE_PRIME = [0.69780402]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.7060749], KGE = [0.64750199] and KGE_PRIME = [0.69775784]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70654607], KGE = [0.64708755] and KGE_PRIME = [0.69732141]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70650263], KGE = [0.64579771] and KGE_PRIME = [0.6958808]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.7066277], KGE = [0.64440867] and KGE_PRIME = [0.69524678]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70657152], KGE = [0.64317924] and KGE_PRIME = [0.69367609]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.7062862], KGE = [0.64174423] and KGE_PRIME = [0.69356983]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70608859], KGE = [0.64008733] and KGE_PRIME = [0.69250321]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70553268], KGE = [0.63866815] and KGE_PRIME = [0.69137184]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.705348], KGE = [0.63737321] and KGE_PRIME = [0.68954711]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70475012], KGE = [0.63609521] and KGE_PRIME = [0.68792145]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70511528], KGE = [0.63500961] and KGE_PRIME = [0.68804774]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70484587], KGE = [0.63465682] and KGE_PRIME = [0.68671014]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.7040457], KGE = [0.63327977] and KGE_PRIME = [0.68551894]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70322944], KGE = [0.63174702] and KGE_PRIME = [0.68496089]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70305345], KGE = [0.63050147] and KGE_PRIME = [0.68401576]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 205 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '205', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_205_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70266445], KGE = [0.62943208] and KGE_PRIME = [0.68344867]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.67, 0.38)
NSE = [0.37722155], KGE = [0.67065504] and KGE_PRIME = [0.67321334]
R score: 0.38 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.74, 0.53)
NSE = [0.53198589], KGE = [0.70314358] and KGE_PRIME = [0.70387002]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57991244], KGE = [0.69938106] and KGE_PRIME = [0.70257419]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.77, 0.60)
NSE = [0.60027309], KGE = [0.69409835] and KGE_PRIME = [0.69882419]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61994381], KGE = [0.68845507] and KGE_PRIME = [0.69868078]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.6319597], KGE = [0.68427873] and KGE_PRIME = [0.69631837]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64168301], KGE = [0.68344195] and KGE_PRIME = [0.69511296]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64637275], KGE = [0.67930341] and KGE_PRIME = [0.69028963]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64940697], KGE = [0.67460918] and KGE_PRIME = [0.68265703]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65391823], KGE = [0.67161535] and KGE_PRIME = [0.67999172]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65250571], KGE = [0.6682501] and KGE_PRIME = [0.67466064]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65078728], KGE = [0.66361515] and KGE_PRIME = [0.67083147]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.6539231], KGE = [0.66100217] and KGE_PRIME = [0.670931]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65648064], KGE = [0.65876746] and KGE_PRIME = [0.67145048]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65658013], KGE = [0.655554] and KGE_PRIME = [0.66793411]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65852495], KGE = [0.65388374] and KGE_PRIME = [0.6668953]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65837709], KGE = [0.65054535] and KGE_PRIME = [0.66428049]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65868773], KGE = [0.64811852] and KGE_PRIME = [0.66049325]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65776417], KGE = [0.645497] and KGE_PRIME = [0.65842005]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65890986], KGE = [0.64389822] and KGE_PRIME = [0.65682782]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.6582508], KGE = [0.64147767] and KGE_PRIME = [0.65530298]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65751287], KGE = [0.6386799] and KGE_PRIME = [0.65203448]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65682322], KGE = [0.63663406] and KGE_PRIME = [0.65110016]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65598557], KGE = [0.63465975] and KGE_PRIME = [0.64931062]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65551071], KGE = [0.63253943] and KGE_PRIME = [0.64982991]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65647148], KGE = [0.6312624] and KGE_PRIME = [0.64836742]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65630561], KGE = [0.62973193] and KGE_PRIME = [0.64756936]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.6557128], KGE = [0.62831722] and KGE_PRIME = [0.64725653]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65542901], KGE = [0.62704443] and KGE_PRIME = [0.64693907]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65524662], KGE = [0.62545078] and KGE_PRIME = [0.64530506]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65534185], KGE = [0.62492968] and KGE_PRIME = [0.64452042]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65431495], KGE = [0.6225391] and KGE_PRIME = [0.64293452]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65382606], KGE = [0.62066771] and KGE_PRIME = [0.64056964]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65393605], KGE = [0.61927511] and KGE_PRIME = [0.64094069]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65365706], KGE = [0.61824469] and KGE_PRIME = [0.6398274]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65329951], KGE = [0.61698135] and KGE_PRIME = [0.63839054]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65293469], KGE = [0.61605427] and KGE_PRIME = [0.63735531]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65250993], KGE = [0.61533627] and KGE_PRIME = [0.63662815]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65219218], KGE = [0.61449211] and KGE_PRIME = [0.63561633]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65205137], KGE = [0.61356549] and KGE_PRIME = [0.63495315]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65164249], KGE = [0.61301525] and KGE_PRIME = [0.63422299]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65032763], KGE = [0.61166992] and KGE_PRIME = [0.63318439]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65014639], KGE = [0.61035039] and KGE_PRIME = [0.63247947]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64988947], KGE = [0.60964165] and KGE_PRIME = [0.6309539]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64937926], KGE = [0.60855959] and KGE_PRIME = [0.62984482]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64901856], KGE = [0.60741596] and KGE_PRIME = [0.63041401]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64807817], KGE = [0.60620007] and KGE_PRIME = [0.62938605]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64775402], KGE = [0.60531124] and KGE_PRIME = [0.62809653]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 210 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '210', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_210_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64803316], KGE = [0.60480845] and KGE_PRIME = [0.62817765]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.74, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.38)
NSE = [0.38337815], KGE = [0.67616206] and KGE_PRIME = [0.67131496]
R score: 0.38 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.64, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.53609724], KGE = [0.70834974] and KGE_PRIME = [0.70405156]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59424622], KGE = [0.7079103] and KGE_PRIME = [0.71492149]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.6124798], KGE = [0.69809103] and KGE_PRIME = [0.70677276]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.62747955], KGE = [0.69280717] and KGE_PRIME = [0.70400317]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63752333], KGE = [0.68709768] and KGE_PRIME = [0.7042233]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64193142], KGE = [0.68141899] and KGE_PRIME = [0.70006719]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64687723], KGE = [0.67736774] and KGE_PRIME = [0.69470165]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.650995], KGE = [0.67425892] and KGE_PRIME = [0.69023398]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65162559], KGE = [0.67058247] and KGE_PRIME = [0.68500917]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65291741], KGE = [0.66707307] and KGE_PRIME = [0.67796517]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65496549], KGE = [0.66519501] and KGE_PRIME = [0.6735949]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65707032], KGE = [0.66242004] and KGE_PRIME = [0.67239369]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66092212], KGE = [0.66039667] and KGE_PRIME = [0.67023272]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65896574], KGE = [0.65632895] and KGE_PRIME = [0.66672717]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65909185], KGE = [0.65403237] and KGE_PRIME = [0.66410578]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.6594528], KGE = [0.65149941] and KGE_PRIME = [0.66383229]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65882839], KGE = [0.65029845] and KGE_PRIME = [0.66233961]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65787948], KGE = [0.6478312] and KGE_PRIME = [0.66084008]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65936085], KGE = [0.64602985] and KGE_PRIME = [0.65987164]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65925836], KGE = [0.64354034] and KGE_PRIME = [0.65811935]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65863494], KGE = [0.64032154] and KGE_PRIME = [0.65476175]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65822836], KGE = [0.63828998] and KGE_PRIME = [0.65415229]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65897258], KGE = [0.63633807] and KGE_PRIME = [0.65116403]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.6579697], KGE = [0.63510666] and KGE_PRIME = [0.65003909]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65767325], KGE = [0.63372873] and KGE_PRIME = [0.64886479]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65765144], KGE = [0.6318893] and KGE_PRIME = [0.64786088]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65744299], KGE = [0.63014187] and KGE_PRIME = [0.64667904]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65744017], KGE = [0.6285974] and KGE_PRIME = [0.64525171]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65603181], KGE = [0.62644073] and KGE_PRIME = [0.64193394]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65589028], KGE = [0.62512644] and KGE_PRIME = [0.64125428]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65618852], KGE = [0.62425119] and KGE_PRIME = [0.64192564]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65692619], KGE = [0.62366225] and KGE_PRIME = [0.64141065]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65696134], KGE = [0.62270395] and KGE_PRIME = [0.64041891]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65649222], KGE = [0.62189273] and KGE_PRIME = [0.63946687]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65558197], KGE = [0.61983231] and KGE_PRIME = [0.63849221]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65498599], KGE = [0.61828613] and KGE_PRIME = [0.63672269]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65483345], KGE = [0.61701089] and KGE_PRIME = [0.63587081]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65386132], KGE = [0.61540299] and KGE_PRIME = [0.63501353]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65366053], KGE = [0.61445003] and KGE_PRIME = [0.63502]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65352716], KGE = [0.61349489] and KGE_PRIME = [0.63422733]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65305774], KGE = [0.61247284] and KGE_PRIME = [0.63373656]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65304038], KGE = [0.61201986] and KGE_PRIME = [0.63328137]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65257404], KGE = [0.61060419] and KGE_PRIME = [0.63266697]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65273185], KGE = [0.61001051] and KGE_PRIME = [0.63161287]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65286995], KGE = [0.60972561] and KGE_PRIME = [0.63148272]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65255115], KGE = [0.60921956] and KGE_PRIME = [0.63119974]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65209801], KGE = [0.60832098] and KGE_PRIME = [0.63041014]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 215 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '215', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_215_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65151857], KGE = [0.60739223] and KGE_PRIME = [0.62969603]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.73, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.69, 0.40)
NSE = [0.40438138], KGE = [0.68583577] and KGE_PRIME = [0.67654872]
R score: 0.4 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55528373], KGE = [0.72061316] and KGE_PRIME = [0.71504143]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.6002642], KGE = [0.71586652] and KGE_PRIME = [0.7205431]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62383603], KGE = [0.70938322] and KGE_PRIME = [0.71656063]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63860343], KGE = [0.70443046] and KGE_PRIME = [0.71720513]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65023323], KGE = [0.69920494] and KGE_PRIME = [0.71765077]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65347875], KGE = [0.69376923] and KGE_PRIME = [0.71064765]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65902564], KGE = [0.69123998] and KGE_PRIME = [0.70843911]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66187907], KGE = [0.68549652] and KGE_PRIME = [0.70334266]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66518986], KGE = [0.68274781] and KGE_PRIME = [0.69773056]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66601041], KGE = [0.67843588] and KGE_PRIME = [0.69132489]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66611419], KGE = [0.67436984] and KGE_PRIME = [0.68452989]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66965525], KGE = [0.67210685] and KGE_PRIME = [0.68214859]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6719651], KGE = [0.66959914] and KGE_PRIME = [0.68226265]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67282856], KGE = [0.6679123] and KGE_PRIME = [0.67798468]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67045411], KGE = [0.66484258] and KGE_PRIME = [0.67567606]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67036708], KGE = [0.66251835] and KGE_PRIME = [0.67625251]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67087385], KGE = [0.66175958] and KGE_PRIME = [0.6747486]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67126314], KGE = [0.66044918] and KGE_PRIME = [0.67524269]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67171461], KGE = [0.65790512] and KGE_PRIME = [0.67167845]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67196078], KGE = [0.65584999] and KGE_PRIME = [0.66955148]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67336339], KGE = [0.65480571] and KGE_PRIME = [0.66903047]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67334071], KGE = [0.65251274] and KGE_PRIME = [0.66726985]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67347671], KGE = [0.65057879] and KGE_PRIME = [0.6653794]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67247893], KGE = [0.64864933] and KGE_PRIME = [0.66335019]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67179375], KGE = [0.64648361] and KGE_PRIME = [0.661391]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67185139], KGE = [0.644884] and KGE_PRIME = [0.65799374]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67187763], KGE = [0.64330484] and KGE_PRIME = [0.65722026]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67154856], KGE = [0.64204189] and KGE_PRIME = [0.65519704]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67108654], KGE = [0.6397944] and KGE_PRIME = [0.65330364]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67070257], KGE = [0.63912497] and KGE_PRIME = [0.65264845]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67105188], KGE = [0.63791267] and KGE_PRIME = [0.65167458]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67071782], KGE = [0.63656986] and KGE_PRIME = [0.64990356]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67031658], KGE = [0.63489783] and KGE_PRIME = [0.64838767]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66998971], KGE = [0.63385639] and KGE_PRIME = [0.64765139]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66954784], KGE = [0.63258185] and KGE_PRIME = [0.6470635]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66934481], KGE = [0.63164263] and KGE_PRIME = [0.64647901]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6692573], KGE = [0.63056383] and KGE_PRIME = [0.64623748]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66913415], KGE = [0.62921154] and KGE_PRIME = [0.64565809]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66835701], KGE = [0.62756925] and KGE_PRIME = [0.64519837]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6687068], KGE = [0.62674047] and KGE_PRIME = [0.64519092]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66850179], KGE = [0.62555117] and KGE_PRIME = [0.64375253]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66831231], KGE = [0.62449938] and KGE_PRIME = [0.64314487]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66768958], KGE = [0.62373184] and KGE_PRIME = [0.64272756]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66728503], KGE = [0.62313102] and KGE_PRIME = [0.64186732]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66702302], KGE = [0.62222123] and KGE_PRIME = [0.64151752]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66678906], KGE = [0.62152581] and KGE_PRIME = [0.64044652]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66688316], KGE = [0.6210904] and KGE_PRIME = [0.64012786]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 220 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '220', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_220_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.66619019], KGE = [0.62002581] and KGE_PRIME = [0.63954108]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.69, 0.38)
NSE = [0.38407319], KGE = [0.68328815] and KGE_PRIME = [0.68400972]
R score: 0.38 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.55815739], KGE = [0.72203924] and KGE_PRIME = [0.74131585]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61236907], KGE = [0.72782807] and KGE_PRIME = [0.73910833]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64804266], KGE = [0.72659739] and KGE_PRIME = [0.74945666]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66485454], KGE = [0.72146219] and KGE_PRIME = [0.74590951]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.68)
NSE = [0.67799709], KGE = [0.71814609] and KGE_PRIME = [0.7463793]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6844754], KGE = [0.71250262] and KGE_PRIME = [0.73953708]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69272321], KGE = [0.71007654] and KGE_PRIME = [0.7374814]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69455699], KGE = [0.70553329] and KGE_PRIME = [0.73345067]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69862361], KGE = [0.70129264] and KGE_PRIME = [0.73345212]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70027355], KGE = [0.69657253] and KGE_PRIME = [0.73012643]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70366615], KGE = [0.69246552] and KGE_PRIME = [0.73102811]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70722683], KGE = [0.6912876] and KGE_PRIME = [0.72952539]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70905361], KGE = [0.68902083] and KGE_PRIME = [0.72749322]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71040439], KGE = [0.68561292] and KGE_PRIME = [0.72362961]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71142504], KGE = [0.6823843] and KGE_PRIME = [0.72119258]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71258927], KGE = [0.6797357] and KGE_PRIME = [0.71873052]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71336325], KGE = [0.67770605] and KGE_PRIME = [0.71738725]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71355183], KGE = [0.67589819] and KGE_PRIME = [0.71665202]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71413793], KGE = [0.67433074] and KGE_PRIME = [0.71447355]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71470972], KGE = [0.67274594] and KGE_PRIME = [0.71442247]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.7147564], KGE = [0.66935169] and KGE_PRIME = [0.71390541]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71539998], KGE = [0.66719196] and KGE_PRIME = [0.71435503]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71517289], KGE = [0.66551066] and KGE_PRIME = [0.71353007]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71483243], KGE = [0.66370235] and KGE_PRIME = [0.71245002]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71463911], KGE = [0.66071135] and KGE_PRIME = [0.70958942]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71406702], KGE = [0.65998822] and KGE_PRIME = [0.7075038]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.7144553], KGE = [0.65826885] and KGE_PRIME = [0.70572916]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71408915], KGE = [0.6569818] and KGE_PRIME = [0.7033157]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71371498], KGE = [0.65555476] and KGE_PRIME = [0.70257557]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71311386], KGE = [0.65425392] and KGE_PRIME = [0.70206904]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71280284], KGE = [0.65272858] and KGE_PRIME = [0.70110957]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71272871], KGE = [0.65130449] and KGE_PRIME = [0.70029113]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71243008], KGE = [0.65021016] and KGE_PRIME = [0.70008585]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71157206], KGE = [0.64910189] and KGE_PRIME = [0.69777744]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71109064], KGE = [0.64652658] and KGE_PRIME = [0.69591726]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71025881], KGE = [0.64540448] and KGE_PRIME = [0.69464894]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70980289], KGE = [0.64461438] and KGE_PRIME = [0.69360447]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70979235], KGE = [0.64350104] and KGE_PRIME = [0.69355782]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70909891], KGE = [0.64187146] and KGE_PRIME = [0.69296176]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.7084784], KGE = [0.64014491] and KGE_PRIME = [0.69203958]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70868209], KGE = [0.63904748] and KGE_PRIME = [0.69069489]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70856085], KGE = [0.63775127] and KGE_PRIME = [0.69032021]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70834571], KGE = [0.63671566] and KGE_PRIME = [0.68993079]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70791144], KGE = [0.6353183] and KGE_PRIME = [0.68885703]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70784852], KGE = [0.6344445] and KGE_PRIME = [0.6884015]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70768707], KGE = [0.63353603] and KGE_PRIME = [0.68756858]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70731064], KGE = [0.6323928] and KGE_PRIME = [0.68677058]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 225 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '225', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_225_winds_gradients_1D_tl3.nc
PCs loaded from file
18 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70720938], KGE = [0.63160107] and KGE_PRIME = [0.68543005]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.77, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.66, 0.35)
NSE = [0.35285391], KGE = [0.6579114] and KGE_PRIME = [0.65102656]
R score: 0.35 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.53)
NSE = [0.53148324], KGE = [0.70247117] and KGE_PRIME = [0.70924737]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57225297], KGE = [0.69412178] and KGE_PRIME = [0.70345544]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.60)
NSE = [0.59950592], KGE = [0.68718449] and KGE_PRIME = [0.70956273]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61467994], KGE = [0.68732442] and KGE_PRIME = [0.70325354]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.62820989], KGE = [0.67993191] and KGE_PRIME = [0.69953414]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63664614], KGE = [0.67550428] and KGE_PRIME = [0.69458207]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64257292], KGE = [0.67398132] and KGE_PRIME = [0.6908027]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64539502], KGE = [0.67180095] and KGE_PRIME = [0.68945643]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65062428], KGE = [0.6690764] and KGE_PRIME = [0.68414212]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65320547], KGE = [0.66570071] and KGE_PRIME = [0.68336368]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65500159], KGE = [0.6625166] and KGE_PRIME = [0.68118781]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65594964], KGE = [0.66068796] and KGE_PRIME = [0.67643226]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65468525], KGE = [0.65759034] and KGE_PRIME = [0.67527388]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65475383], KGE = [0.65568022] and KGE_PRIME = [0.67349012]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65354113], KGE = [0.65289519] and KGE_PRIME = [0.66853121]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65378041], KGE = [0.64993482] and KGE_PRIME = [0.66695196]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65313412], KGE = [0.64695652] and KGE_PRIME = [0.66545947]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65248622], KGE = [0.6436256] and KGE_PRIME = [0.66146164]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65362366], KGE = [0.6420246] and KGE_PRIME = [0.65875014]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65428896], KGE = [0.64117494] and KGE_PRIME = [0.65834571]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65354367], KGE = [0.63858436] and KGE_PRIME = [0.65670363]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65404099], KGE = [0.63748133] and KGE_PRIME = [0.65303107]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.6531984], KGE = [0.6352775] and KGE_PRIME = [0.65070594]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65392459], KGE = [0.63471484] and KGE_PRIME = [0.651232]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65307237], KGE = [0.63287404] and KGE_PRIME = [0.64890181]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65246896], KGE = [0.63095068] and KGE_PRIME = [0.64617336]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65183098], KGE = [0.6289224] and KGE_PRIME = [0.64577287]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65145377], KGE = [0.62747705] and KGE_PRIME = [0.64388906]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65051687], KGE = [0.62564312] and KGE_PRIME = [0.64202792]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65101849], KGE = [0.62491477] and KGE_PRIME = [0.64008297]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65091797], KGE = [0.62388369] and KGE_PRIME = [0.63793441]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65055353], KGE = [0.62200548] and KGE_PRIME = [0.63636092]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65075449], KGE = [0.62115373] and KGE_PRIME = [0.63535019]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65075958], KGE = [0.62004342] and KGE_PRIME = [0.63458182]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65074263], KGE = [0.61869849] and KGE_PRIME = [0.63518584]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65040952], KGE = [0.61760149] and KGE_PRIME = [0.63439387]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65008082], KGE = [0.61612482] and KGE_PRIME = [0.6332012]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64992348], KGE = [0.61487533] and KGE_PRIME = [0.63258836]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.6499393], KGE = [0.61387283] and KGE_PRIME = [0.63340347]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65031574], KGE = [0.61272693] and KGE_PRIME = [0.63335132]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65049248], KGE = [0.61177363] and KGE_PRIME = [0.63215635]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65004619], KGE = [0.61054206] and KGE_PRIME = [0.63161995]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64991945], KGE = [0.60963464] and KGE_PRIME = [0.63087567]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64993509], KGE = [0.60864328] and KGE_PRIME = [0.63072518]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64983127], KGE = [0.60860183] and KGE_PRIME = [0.63008109]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64925249], KGE = [0.60786395] and KGE_PRIME = [0.6298171]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64920144], KGE = [0.60705391] and KGE_PRIME = [0.62926555]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 230 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '230', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_230_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64857344], KGE = [0.60578494] and KGE_PRIME = [0.62817887]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.77, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.66, 0.35)
NSE = [0.34803376], KGE = [0.65365232] and KGE_PRIME = [0.64559212]
R score: 0.35 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.66, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.52532923], KGE = [0.69709422] and KGE_PRIME = [0.70452302]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57354191], KGE = [0.69242133] and KGE_PRIME = [0.70506042]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.60)
NSE = [0.59586182], KGE = [0.68466735] and KGE_PRIME = [0.7060996]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61316232], KGE = [0.68439584] and KGE_PRIME = [0.70013948]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.62605177], KGE = [0.67774157] and KGE_PRIME = [0.6976312]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63349679], KGE = [0.67204607] and KGE_PRIME = [0.68998037]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63896743], KGE = [0.66902624] and KGE_PRIME = [0.68901271]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64225179], KGE = [0.66681191] and KGE_PRIME = [0.68697979]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64680673], KGE = [0.66527949] and KGE_PRIME = [0.68390787]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64978132], KGE = [0.66249722] and KGE_PRIME = [0.68231974]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65238547], KGE = [0.65932999] and KGE_PRIME = [0.68048649]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65262261], KGE = [0.65749808] and KGE_PRIME = [0.67663304]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65133836], KGE = [0.65373025] and KGE_PRIME = [0.67397514]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65121731], KGE = [0.6512794] and KGE_PRIME = [0.67298973]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65012418], KGE = [0.64852411] and KGE_PRIME = [0.66793827]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64955367], KGE = [0.64583524] and KGE_PRIME = [0.6665847]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65026859], KGE = [0.64320116] and KGE_PRIME = [0.66277982]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65031422], KGE = [0.64045367] and KGE_PRIME = [0.65973609]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.6506374], KGE = [0.63837449] and KGE_PRIME = [0.65603146]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.6513569], KGE = [0.63715798] and KGE_PRIME = [0.65786527]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65158115], KGE = [0.63559252] and KGE_PRIME = [0.65728313]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65059587], KGE = [0.63408755] and KGE_PRIME = [0.65271606]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64973382], KGE = [0.63154993] and KGE_PRIME = [0.65094903]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65066999], KGE = [0.63085804] and KGE_PRIME = [0.64939697]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65004705], KGE = [0.62928896] and KGE_PRIME = [0.64764873]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64939303], KGE = [0.6271874] and KGE_PRIME = [0.64544017]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64880977], KGE = [0.62554934] and KGE_PRIME = [0.64355434]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64775012], KGE = [0.62387848] and KGE_PRIME = [0.64155523]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64771533], KGE = [0.62254693] and KGE_PRIME = [0.64086342]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64803603], KGE = [0.62155847] and KGE_PRIME = [0.63845514]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64820208], KGE = [0.62044887] and KGE_PRIME = [0.63549218]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64809444], KGE = [0.61908151] and KGE_PRIME = [0.63461472]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64735568], KGE = [0.61738756] and KGE_PRIME = [0.63341238]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.6473402], KGE = [0.61601022] and KGE_PRIME = [0.63242104]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64768437], KGE = [0.61517994] and KGE_PRIME = [0.63368745]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.6479119], KGE = [0.61416739] and KGE_PRIME = [0.63373956]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64813658], KGE = [0.61307819] and KGE_PRIME = [0.63227366]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64744168], KGE = [0.61163635] and KGE_PRIME = [0.63134198]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64774713], KGE = [0.61081676] and KGE_PRIME = [0.63184583]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64761329], KGE = [0.6096494] and KGE_PRIME = [0.63075737]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64715919], KGE = [0.60789946] and KGE_PRIME = [0.63052669]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64740819], KGE = [0.6069279] and KGE_PRIME = [0.62994833]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64756517], KGE = [0.60641603] and KGE_PRIME = [0.62924948]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64722476], KGE = [0.60531225] and KGE_PRIME = [0.62895277]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64737286], KGE = [0.60502407] and KGE_PRIME = [0.62782241]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64677734], KGE = [0.60436745] and KGE_PRIME = [0.62769871]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64644951], KGE = [0.60345544] and KGE_PRIME = [0.62685985]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 235 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '235', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_235_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64670922], KGE = [0.60287983] and KGE_PRIME = [0.62666809]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.75, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.69, 0.37)
NSE = [0.37446494], KGE = [0.6810767] and KGE_PRIME = [0.67168038]
R score: 0.37 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.55622544], KGE = [0.73019665] and KGE_PRIME = [0.74579302]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61655828], KGE = [0.73457532] and KGE_PRIME = [0.75216936]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63931938], KGE = [0.73682193] and KGE_PRIME = [0.7432333]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.6608132], KGE = [0.72812964] and KGE_PRIME = [0.74622609]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.68)
NSE = [0.67785738], KGE = [0.72599953] and KGE_PRIME = [0.74298524]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68808861], KGE = [0.72373748] and KGE_PRIME = [0.74010957]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.69240759], KGE = [0.71703184] and KGE_PRIME = [0.73995128]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69823388], KGE = [0.71175677] and KGE_PRIME = [0.73706368]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70236483], KGE = [0.70846064] and KGE_PRIME = [0.73347072]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70705797], KGE = [0.70384194] and KGE_PRIME = [0.73111645]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70910324], KGE = [0.70225378] and KGE_PRIME = [0.72986171]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71177994], KGE = [0.6989507] and KGE_PRIME = [0.72783185]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71262177], KGE = [0.6950816] and KGE_PRIME = [0.72316751]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71414221], KGE = [0.69312115] and KGE_PRIME = [0.72045565]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71655215], KGE = [0.69170756] and KGE_PRIME = [0.72240491]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71634283], KGE = [0.68833915] and KGE_PRIME = [0.71998464]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71624661], KGE = [0.68646165] and KGE_PRIME = [0.71723053]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71686097], KGE = [0.68418798] and KGE_PRIME = [0.7184969]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71794461], KGE = [0.68215328] and KGE_PRIME = [0.71689729]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71896483], KGE = [0.6803421] and KGE_PRIME = [0.71549111]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71879698], KGE = [0.67845046] and KGE_PRIME = [0.71311103]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7186565], KGE = [0.67636207] and KGE_PRIME = [0.7105613]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71881344], KGE = [0.67435595] and KGE_PRIME = [0.71049306]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71914315], KGE = [0.67303292] and KGE_PRIME = [0.70954778]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71906132], KGE = [0.67089996] and KGE_PRIME = [0.70925779]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71890786], KGE = [0.6693347] and KGE_PRIME = [0.70875963]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71837199], KGE = [0.66736975] and KGE_PRIME = [0.7060789]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71821033], KGE = [0.66640159] and KGE_PRIME = [0.70411294]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71728857], KGE = [0.66526304] and KGE_PRIME = [0.70361429]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71666336], KGE = [0.66393669] and KGE_PRIME = [0.70283541]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71672179], KGE = [0.66244983] and KGE_PRIME = [0.70081977]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71653487], KGE = [0.66002777] and KGE_PRIME = [0.69997235]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71571809], KGE = [0.65889365] and KGE_PRIME = [0.6977391]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71572064], KGE = [0.65836777] and KGE_PRIME = [0.69666413]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71588308], KGE = [0.65688814] and KGE_PRIME = [0.69587853]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71506642], KGE = [0.65502342] and KGE_PRIME = [0.69468334]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71434518], KGE = [0.65381381] and KGE_PRIME = [0.69415671]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71354991], KGE = [0.65254188] and KGE_PRIME = [0.69248251]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71321249], KGE = [0.65123099] and KGE_PRIME = [0.69156677]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71259846], KGE = [0.64962175] and KGE_PRIME = [0.6903852]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71228773], KGE = [0.64781785] and KGE_PRIME = [0.69049798]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71171944], KGE = [0.64664486] and KGE_PRIME = [0.68949769]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71165689], KGE = [0.64565879] and KGE_PRIME = [0.68878696]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71159092], KGE = [0.64453378] and KGE_PRIME = [0.68830047]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71073079], KGE = [0.6433555] and KGE_PRIME = [0.68739367]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71087256], KGE = [0.64294421] and KGE_PRIME = [0.68641839]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71087671], KGE = [0.64189838] and KGE_PRIME = [0.685748]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 240 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '240', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_240_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71092371], KGE = [0.6407379] and KGE_PRIME = [0.68466798]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.77, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.66, 0.35)
NSE = [0.3450807], KGE = [0.65078343] and KGE_PRIME = [0.64711764]
R score: 0.35 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.66, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.73, 0.52)
NSE = [0.51584533], KGE = [0.6899202] and KGE_PRIME = [0.69974372]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57448448], KGE = [0.68923585] and KGE_PRIME = [0.70183499]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59229755], KGE = [0.67941028] and KGE_PRIME = [0.70297836]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60741637], KGE = [0.67616436] and KGE_PRIME = [0.6927672]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62080084], KGE = [0.67091799] and KGE_PRIME = [0.69320237]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.62829464], KGE = [0.66514644] and KGE_PRIME = [0.68997116]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63427705], KGE = [0.66372912] and KGE_PRIME = [0.68862659]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63807261], KGE = [0.6604454] and KGE_PRIME = [0.6859056]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64351367], KGE = [0.65914901] and KGE_PRIME = [0.68182895]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.6457033], KGE = [0.6553935] and KGE_PRIME = [0.67885828]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64653096], KGE = [0.65184297] and KGE_PRIME = [0.67606396]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64776344], KGE = [0.6497147] and KGE_PRIME = [0.67473835]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64627649], KGE = [0.64590276] and KGE_PRIME = [0.67237308]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64613781], KGE = [0.64313949] and KGE_PRIME = [0.67145433]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64564481], KGE = [0.64152785] and KGE_PRIME = [0.66717866]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64493384], KGE = [0.63874695] and KGE_PRIME = [0.66369328]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64432429], KGE = [0.63605753] and KGE_PRIME = [0.66041938]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64606411], KGE = [0.63411656] and KGE_PRIME = [0.65823149]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64666714], KGE = [0.63136007] and KGE_PRIME = [0.65590616]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64639411], KGE = [0.63012005] and KGE_PRIME = [0.65443442]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64611307], KGE = [0.62826296] and KGE_PRIME = [0.65349732]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64523177], KGE = [0.62665044] and KGE_PRIME = [0.65132055]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64496259], KGE = [0.62407143] and KGE_PRIME = [0.64957375]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64463924], KGE = [0.62262374] and KGE_PRIME = [0.64756235]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64352105], KGE = [0.62110933] and KGE_PRIME = [0.64466036]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.6440488], KGE = [0.61947053] and KGE_PRIME = [0.64269142]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64307216], KGE = [0.61821584] and KGE_PRIME = [0.64029038]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64266757], KGE = [0.61675123] and KGE_PRIME = [0.63898739]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64276319], KGE = [0.61532606] and KGE_PRIME = [0.63754224]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64224765], KGE = [0.61448548] and KGE_PRIME = [0.63604296]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64214664], KGE = [0.61310276] and KGE_PRIME = [0.63404752]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64235618], KGE = [0.61245811] and KGE_PRIME = [0.63235939]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64216205], KGE = [0.61090024] and KGE_PRIME = [0.63140924]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64272506], KGE = [0.6099117] and KGE_PRIME = [0.63098245]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64326771], KGE = [0.60886472] and KGE_PRIME = [0.63107373]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64323843], KGE = [0.60777828] and KGE_PRIME = [0.63123694]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64324833], KGE = [0.60614962] and KGE_PRIME = [0.63066475]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64328486], KGE = [0.60541444] and KGE_PRIME = [0.62905617]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64279089], KGE = [0.6037559] and KGE_PRIME = [0.62927064]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64232849], KGE = [0.60230218] and KGE_PRIME = [0.62940477]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64236438], KGE = [0.60146248] and KGE_PRIME = [0.62823369]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64282449], KGE = [0.60056356] and KGE_PRIME = [0.62743956]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64247706], KGE = [0.59985041] and KGE_PRIME = [0.627128]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64183489], KGE = [0.59846771] and KGE_PRIME = [0.62556903]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64161933], KGE = [0.59780254] and KGE_PRIME = [0.62520798]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64190608], KGE = [0.59719124] and KGE_PRIME = [0.62478753]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64213893], KGE = [0.59654916] and KGE_PRIME = [0.62399245]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 245 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '245', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_245_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64215538], KGE = [0.59614003] and KGE_PRIME = [0.62444622]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.69, 0.39)
NSE = [0.38811837], KGE = [0.68806041] and KGE_PRIME = [0.68433718]
R score: 0.39 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.55624266], KGE = [0.72912723] and KGE_PRIME = [0.74255661]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61485089], KGE = [0.73432667] and KGE_PRIME = [0.74897963]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64840173], KGE = [0.73582089] and KGE_PRIME = [0.74750417]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66433319], KGE = [0.7300245] and KGE_PRIME = [0.73993141]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68009828], KGE = [0.72916254] and KGE_PRIME = [0.73735852]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68828364], KGE = [0.72445479] and KGE_PRIME = [0.73567864]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69434041], KGE = [0.72170959] and KGE_PRIME = [0.73998155]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69994332], KGE = [0.71839276] and KGE_PRIME = [0.73901087]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.71)
NSE = [0.70503897], KGE = [0.71444907] and KGE_PRIME = [0.73610708]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70802514], KGE = [0.71069545] and KGE_PRIME = [0.73559887]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.7133796], KGE = [0.70955278] and KGE_PRIME = [0.73385886]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.7160781], KGE = [0.70812129] and KGE_PRIME = [0.7305579]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.7188881], KGE = [0.70647588] and KGE_PRIME = [0.72817538]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71973527], KGE = [0.70294868] and KGE_PRIME = [0.72469864]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72037261], KGE = [0.70029174] and KGE_PRIME = [0.72229197]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72227741], KGE = [0.69819967] and KGE_PRIME = [0.72180514]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72173408], KGE = [0.69455544] and KGE_PRIME = [0.72035673]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72197518], KGE = [0.69273845] and KGE_PRIME = [0.72063635]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72271129], KGE = [0.68997313] and KGE_PRIME = [0.71938545]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72299953], KGE = [0.68911363] and KGE_PRIME = [0.71763291]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72218218], KGE = [0.68619798] and KGE_PRIME = [0.71749052]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72245363], KGE = [0.68388534] and KGE_PRIME = [0.71579023]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7221765], KGE = [0.68138717] and KGE_PRIME = [0.7141121]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7226327], KGE = [0.67978013] and KGE_PRIME = [0.7122241]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72190616], KGE = [0.67765491] and KGE_PRIME = [0.71181715]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72264968], KGE = [0.67626774] and KGE_PRIME = [0.7104681]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72289051], KGE = [0.67467095] and KGE_PRIME = [0.70919342]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72217275], KGE = [0.67289917] and KGE_PRIME = [0.70756943]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72294865], KGE = [0.67245604] and KGE_PRIME = [0.70557502]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72248437], KGE = [0.67081407] and KGE_PRIME = [0.70394522]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72185122], KGE = [0.66937682] and KGE_PRIME = [0.7029528]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72185671], KGE = [0.66791453] and KGE_PRIME = [0.70133783]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72206815], KGE = [0.66752197] and KGE_PRIME = [0.70103162]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72110772], KGE = [0.66476557] and KGE_PRIME = [0.70055999]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72085191], KGE = [0.66386706] and KGE_PRIME = [0.69977138]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71972882], KGE = [0.66240882] and KGE_PRIME = [0.69775403]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71994432], KGE = [0.66163882] and KGE_PRIME = [0.69708544]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71968662], KGE = [0.65998278] and KGE_PRIME = [0.69656919]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71897307], KGE = [0.65811467] and KGE_PRIME = [0.69482168]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71787008], KGE = [0.65687924] and KGE_PRIME = [0.69405974]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71748137], KGE = [0.65598136] and KGE_PRIME = [0.6927446]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71677667], KGE = [0.6548563] and KGE_PRIME = [0.69186811]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71651762], KGE = [0.65328652] and KGE_PRIME = [0.69116376]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71603588], KGE = [0.65204596] and KGE_PRIME = [0.69013399]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71579364], KGE = [0.65159969] and KGE_PRIME = [0.68870543]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71523171], KGE = [0.65060842] and KGE_PRIME = [0.68779786]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71534123], KGE = [0.65025964] and KGE_PRIME = [0.6867963]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 250 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '250', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_250_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71511402], KGE = [0.64933671] and KGE_PRIME = [0.6854642]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.78, Relative - RMSE: 0.40
and Correlations (Pearson, Rscore): (0.64, 0.32)
NSE = [0.32340098], KGE = [0.63593014] and KGE_PRIME = [0.63351344]
R score: 0.32 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.68, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.71, 0.48)
NSE = [0.48488256], KGE = [0.66818618] and KGE_PRIME = [0.67952082]
R score: 0.48 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.55303182], KGE = [0.66579051] and KGE_PRIME = [0.69320527]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57549686], KGE = [0.65654082] and KGE_PRIME = [0.68983582]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59015808], KGE = [0.65188343] and KGE_PRIME = [0.68692809]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60123074], KGE = [0.64715087] and KGE_PRIME = [0.68212522]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60697414], KGE = [0.64329576] and KGE_PRIME = [0.67430792]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61146496], KGE = [0.63846026] and KGE_PRIME = [0.66783719]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61744812], KGE = [0.63698359] and KGE_PRIME = [0.66755683]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62276291], KGE = [0.63611874] and KGE_PRIME = [0.67052586]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62556095], KGE = [0.63368799] and KGE_PRIME = [0.66277049]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62870456], KGE = [0.63251351] and KGE_PRIME = [0.6597672]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62708421], KGE = [0.62872479] and KGE_PRIME = [0.65684638]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62764375], KGE = [0.62563477] and KGE_PRIME = [0.65225332]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62680863], KGE = [0.62259392] and KGE_PRIME = [0.64936688]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62748193], KGE = [0.62144699] and KGE_PRIME = [0.64662904]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62675569], KGE = [0.61779166] and KGE_PRIME = [0.64449001]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62587268], KGE = [0.61577623] and KGE_PRIME = [0.64116934]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62549891], KGE = [0.61308345] and KGE_PRIME = [0.64087798]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62741551], KGE = [0.61197382] and KGE_PRIME = [0.64050467]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62766934], KGE = [0.60967018] and KGE_PRIME = [0.64059437]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62738055], KGE = [0.60778882] and KGE_PRIME = [0.63862578]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62531329], KGE = [0.6049144] and KGE_PRIME = [0.63612856]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62569808], KGE = [0.60424604] and KGE_PRIME = [0.63405952]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.6249176], KGE = [0.6028651] and KGE_PRIME = [0.63182805]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62480177], KGE = [0.60071342] and KGE_PRIME = [0.63187453]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62521692], KGE = [0.5996615] and KGE_PRIME = [0.63097378]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62554468], KGE = [0.59905618] and KGE_PRIME = [0.6310271]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.6251343], KGE = [0.59729074] and KGE_PRIME = [0.62914368]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62527322], KGE = [0.59670035] and KGE_PRIME = [0.62853383]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62389793], KGE = [0.59504409] and KGE_PRIME = [0.62652771]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62449304], KGE = [0.59395114] and KGE_PRIME = [0.62579447]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62502013], KGE = [0.59240896] and KGE_PRIME = [0.62465082]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62512577], KGE = [0.59125787] and KGE_PRIME = [0.62389194]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62489217], KGE = [0.59018387] and KGE_PRIME = [0.62304199]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62582559], KGE = [0.58955991] and KGE_PRIME = [0.62344916]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62587974], KGE = [0.58826856] and KGE_PRIME = [0.62313338]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62588644], KGE = [0.58665855] and KGE_PRIME = [0.62239672]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62580188], KGE = [0.58553835] and KGE_PRIME = [0.62112482]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62509477], KGE = [0.58450815] and KGE_PRIME = [0.61918221]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62543558], KGE = [0.5837605] and KGE_PRIME = [0.61794472]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62454639], KGE = [0.58267703] and KGE_PRIME = [0.61629031]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62379141], KGE = [0.581655] and KGE_PRIME = [0.61596846]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62390117], KGE = [0.58094297] and KGE_PRIME = [0.61613327]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62395056], KGE = [0.58037493] and KGE_PRIME = [0.61496169]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62341218], KGE = [0.57892662] and KGE_PRIME = [0.61390102]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.6238849], KGE = [0.57832247] and KGE_PRIME = [0.61289117]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62333067], KGE = [0.57722783] and KGE_PRIME = [0.61213874]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 255 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '255', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_255_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62252888], KGE = [0.57629205] and KGE_PRIME = [0.61116514]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.69, 0.38)
NSE = [0.38490694], KGE = [0.68471619] and KGE_PRIME = [0.68099573]
R score: 0.38 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.55885068], KGE = [0.7226075] and KGE_PRIME = [0.74154044]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60829564], KGE = [0.72716909] and KGE_PRIME = [0.74220289]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64445765], KGE = [0.72626826] and KGE_PRIME = [0.74394256]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.66089245], KGE = [0.72674362] and KGE_PRIME = [0.74224639]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.6744936], KGE = [0.72323842] and KGE_PRIME = [0.73621737]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68649155], KGE = [0.7205298] and KGE_PRIME = [0.73644162]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69543477], KGE = [0.71998988] and KGE_PRIME = [0.73626194]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69960899], KGE = [0.71551548] and KGE_PRIME = [0.73383401]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.7030762], KGE = [0.71086149] and KGE_PRIME = [0.7330208]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.7078278], KGE = [0.70810759] and KGE_PRIME = [0.73260721]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71161936], KGE = [0.70459404] and KGE_PRIME = [0.73083783]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71470207], KGE = [0.70161868] and KGE_PRIME = [0.72957637]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71386514], KGE = [0.69752232] and KGE_PRIME = [0.72433981]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71404536], KGE = [0.69417963] and KGE_PRIME = [0.72232464]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71436032], KGE = [0.69203447] and KGE_PRIME = [0.71774069]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71576717], KGE = [0.68990331] and KGE_PRIME = [0.7202882]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71660886], KGE = [0.68902269] and KGE_PRIME = [0.7188578]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71792087], KGE = [0.68626267] and KGE_PRIME = [0.71633155]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71815646], KGE = [0.68514304] and KGE_PRIME = [0.71427963]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71841297], KGE = [0.68285457] and KGE_PRIME = [0.71167264]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71888201], KGE = [0.68092918] and KGE_PRIME = [0.71188125]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71983474], KGE = [0.67863505] and KGE_PRIME = [0.71076504]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72027816], KGE = [0.67759406] and KGE_PRIME = [0.70977658]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72030541], KGE = [0.67537777] and KGE_PRIME = [0.7081793]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71982285], KGE = [0.67313744] and KGE_PRIME = [0.707656]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72036454], KGE = [0.67153567] and KGE_PRIME = [0.70628717]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71984923], KGE = [0.66920114] and KGE_PRIME = [0.70444605]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71953381], KGE = [0.66750304] and KGE_PRIME = [0.7036297]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71814695], KGE = [0.66489692] and KGE_PRIME = [0.70173427]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71861737], KGE = [0.66376299] and KGE_PRIME = [0.70138621]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71895891], KGE = [0.66191912] and KGE_PRIME = [0.69992006]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71865712], KGE = [0.66021936] and KGE_PRIME = [0.69932602]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71827998], KGE = [0.65895013] and KGE_PRIME = [0.69896519]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7183445], KGE = [0.65792997] and KGE_PRIME = [0.6968592]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71777122], KGE = [0.65653539] and KGE_PRIME = [0.69550476]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71744177], KGE = [0.65557963] and KGE_PRIME = [0.69425651]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71713585], KGE = [0.65422285] and KGE_PRIME = [0.69301468]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71621643], KGE = [0.65307283] and KGE_PRIME = [0.6918206]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71586956], KGE = [0.65253217] and KGE_PRIME = [0.69072351]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71512353], KGE = [0.65113507] and KGE_PRIME = [0.68934291]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71472628], KGE = [0.65007637] and KGE_PRIME = [0.68720576]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71449147], KGE = [0.64902895] and KGE_PRIME = [0.68635946]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.7141084], KGE = [0.64830269] and KGE_PRIME = [0.68620253]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71400164], KGE = [0.64721888] and KGE_PRIME = [0.68497514]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71377824], KGE = [0.64643182] and KGE_PRIME = [0.68408366]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.7138932], KGE = [0.64574937] and KGE_PRIME = [0.68314126]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71353104], KGE = [0.64468577] and KGE_PRIME = [0.68246635]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 260 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '260', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_260_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71309649], KGE = [0.6433544] and KGE_PRIME = [0.68177085]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.79, Relative - RMSE: 0.40
and Correlations (Pearson, Rscore): (0.64, 0.32)
NSE = [0.31638136], KGE = [0.63198827] and KGE_PRIME = [0.63360719]
R score: 0.32 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.69, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.71, 0.48)
NSE = [0.48009977], KGE = [0.65712181] and KGE_PRIME = [0.6780611]
R score: 0.48 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.54350706], KGE = [0.65773832] and KGE_PRIME = [0.68710595]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.57)
NSE = [0.56621132], KGE = [0.65033462] and KGE_PRIME = [0.68678272]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.58361004], KGE = [0.64503573] and KGE_PRIME = [0.68538194]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59312455], KGE = [0.64152609] and KGE_PRIME = [0.67582984]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60235719], KGE = [0.63971852] and KGE_PRIME = [0.66846018]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60829057], KGE = [0.63546569] and KGE_PRIME = [0.66319325]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61392085], KGE = [0.63220774] and KGE_PRIME = [0.66310071]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61639455], KGE = [0.62789973] and KGE_PRIME = [0.66127748]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61782373], KGE = [0.62482346] and KGE_PRIME = [0.65489579]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62008482], KGE = [0.62418705] and KGE_PRIME = [0.65210041]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62081424], KGE = [0.62187726] and KGE_PRIME = [0.64843167]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62012647], KGE = [0.61879091] and KGE_PRIME = [0.64356851]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61868643], KGE = [0.61561543] and KGE_PRIME = [0.6410759]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61898251], KGE = [0.61280062] and KGE_PRIME = [0.64074376]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62067173], KGE = [0.61091277] and KGE_PRIME = [0.64281549]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62133807], KGE = [0.60907359] and KGE_PRIME = [0.64142545]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62150927], KGE = [0.60757062] and KGE_PRIME = [0.64050877]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62023589], KGE = [0.60415341] and KGE_PRIME = [0.63926897]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62080165], KGE = [0.60286297] and KGE_PRIME = [0.63639928]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61990643], KGE = [0.59998542] and KGE_PRIME = [0.63529712]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61985741], KGE = [0.59870054] and KGE_PRIME = [0.63268206]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61914354], KGE = [0.59626429] and KGE_PRIME = [0.62954261]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61955287], KGE = [0.59582746] and KGE_PRIME = [0.62784432]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61887919], KGE = [0.59449113] and KGE_PRIME = [0.62818382]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61837014], KGE = [0.59317961] and KGE_PRIME = [0.62638292]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61856754], KGE = [0.59182582] and KGE_PRIME = [0.62540519]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61897985], KGE = [0.59075882] and KGE_PRIME = [0.62387266]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.6187048], KGE = [0.58936358] and KGE_PRIME = [0.62309189]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61870645], KGE = [0.58757258] and KGE_PRIME = [0.62204402]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61853572], KGE = [0.5868128] and KGE_PRIME = [0.62132714]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.6187975], KGE = [0.58597092] and KGE_PRIME = [0.62044699]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61907785], KGE = [0.58502734] and KGE_PRIME = [0.62001665]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61943263], KGE = [0.58394819] and KGE_PRIME = [0.61937179]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61951385], KGE = [0.58311492] and KGE_PRIME = [0.61895682]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61935628], KGE = [0.58136911] and KGE_PRIME = [0.61846785]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61974941], KGE = [0.58086316] and KGE_PRIME = [0.61712904]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62018552], KGE = [0.5798655] and KGE_PRIME = [0.6156877]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61963589], KGE = [0.57886873] and KGE_PRIME = [0.61438993]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.6184413], KGE = [0.57745425] and KGE_PRIME = [0.61262412]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61830837], KGE = [0.57647883] and KGE_PRIME = [0.61076855]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61758162], KGE = [0.57538405] and KGE_PRIME = [0.60819196]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61744591], KGE = [0.57450135] and KGE_PRIME = [0.60807204]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61740185], KGE = [0.57356312] and KGE_PRIME = [0.60766451]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61729307], KGE = [0.5731363] and KGE_PRIME = [0.60728583]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61629284], KGE = [0.57153875] and KGE_PRIME = [0.60586271]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61571375], KGE = [0.57058103] and KGE_PRIME = [0.60495128]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 265 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '265', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_265_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61549463], KGE = [0.56970636] and KGE_PRIME = [0.60573292]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.69, 0.38)
NSE = [0.37761716], KGE = [0.68179786] and KGE_PRIME = [0.67705317]
R score: 0.38 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.54868791], KGE = [0.71929343] and KGE_PRIME = [0.73842341]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.6089914], KGE = [0.72555305] and KGE_PRIME = [0.74850239]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64373315], KGE = [0.72707555] and KGE_PRIME = [0.74161796]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66713902], KGE = [0.73049302] and KGE_PRIME = [0.74509636]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.68)
NSE = [0.67728207], KGE = [0.72475552] and KGE_PRIME = [0.74336066]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.6870862], KGE = [0.72104728] and KGE_PRIME = [0.73994754]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69687534], KGE = [0.72009663] and KGE_PRIME = [0.74104088]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.7022277], KGE = [0.71459783] and KGE_PRIME = [0.73839369]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70775436], KGE = [0.71403036] and KGE_PRIME = [0.73574477]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71117598], KGE = [0.7100331] and KGE_PRIME = [0.73233582]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71514747], KGE = [0.70744289] and KGE_PRIME = [0.73145856]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71689968], KGE = [0.70564989] and KGE_PRIME = [0.73109712]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71861281], KGE = [0.70185743] and KGE_PRIME = [0.730917]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71894423], KGE = [0.69976974] and KGE_PRIME = [0.72704149]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71837451], KGE = [0.69529984] and KGE_PRIME = [0.72233567]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71942858], KGE = [0.69294852] and KGE_PRIME = [0.72172846]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72006399], KGE = [0.68996201] and KGE_PRIME = [0.72164888]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72109473], KGE = [0.68782641] and KGE_PRIME = [0.71978323]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72171226], KGE = [0.68503672] and KGE_PRIME = [0.71840662]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72195576], KGE = [0.68357703] and KGE_PRIME = [0.71599496]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72164521], KGE = [0.68296468] and KGE_PRIME = [0.71458334]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72244019], KGE = [0.68098904] and KGE_PRIME = [0.71300378]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72259454], KGE = [0.67963194] and KGE_PRIME = [0.71095524]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72259725], KGE = [0.67658568] and KGE_PRIME = [0.70871054]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72264904], KGE = [0.6749423] and KGE_PRIME = [0.70624101]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72128985], KGE = [0.67270279] and KGE_PRIME = [0.70487376]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72156393], KGE = [0.67111508] and KGE_PRIME = [0.70457272]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72108784], KGE = [0.6696183] and KGE_PRIME = [0.70493538]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72091627], KGE = [0.66781954] and KGE_PRIME = [0.70527819]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72087905], KGE = [0.66615265] and KGE_PRIME = [0.70340623]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72111766], KGE = [0.66553749] and KGE_PRIME = [0.70135937]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72160073], KGE = [0.66392435] and KGE_PRIME = [0.70012441]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72119187], KGE = [0.66240091] and KGE_PRIME = [0.69912481]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72067312], KGE = [0.6612048] and KGE_PRIME = [0.69888393]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7207915], KGE = [0.66001219] and KGE_PRIME = [0.69746474]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72029668], KGE = [0.65842312] and KGE_PRIME = [0.69688008]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7201432], KGE = [0.65722368] and KGE_PRIME = [0.69518412]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71935623], KGE = [0.65548679] and KGE_PRIME = [0.69421944]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71868958], KGE = [0.65397466] and KGE_PRIME = [0.69284841]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71810471], KGE = [0.65300225] and KGE_PRIME = [0.69110092]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71722014], KGE = [0.65197484] and KGE_PRIME = [0.68975283]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7166173], KGE = [0.6509114] and KGE_PRIME = [0.68879461]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71618949], KGE = [0.64930923] and KGE_PRIME = [0.68825391]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71653357], KGE = [0.64868112] and KGE_PRIME = [0.68796412]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71689721], KGE = [0.64808203] and KGE_PRIME = [0.6877291]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71595706], KGE = [0.64647246] and KGE_PRIME = [0.68767526]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71560638], KGE = [0.64552751] and KGE_PRIME = [0.68666715]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 270 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '270', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_270_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71565779], KGE = [0.64473637] and KGE_PRIME = [0.68574205]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.79, Relative - RMSE: 0.40
and Correlations (Pearson, Rscore): (0.64, 0.32)
NSE = [0.31655312], KGE = [0.63135955] and KGE_PRIME = [0.63066125]
R score: 0.32 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.69, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.70, 0.48)
NSE = [0.4781585], KGE = [0.65846368] and KGE_PRIME = [0.67589201]
R score: 0.48 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.54303864], KGE = [0.65257647] and KGE_PRIME = [0.68913356]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.57)
NSE = [0.56666802], KGE = [0.6475332] and KGE_PRIME = [0.68666127]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.58124447], KGE = [0.63843666] and KGE_PRIME = [0.6822104]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58869297], KGE = [0.63657744] and KGE_PRIME = [0.67644128]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59831492], KGE = [0.63378896] and KGE_PRIME = [0.67437267]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60254102], KGE = [0.63154248] and KGE_PRIME = [0.66587057]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60919157], KGE = [0.62971239] and KGE_PRIME = [0.66397631]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.6085065], KGE = [0.62171245] and KGE_PRIME = [0.65670173]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61179228], KGE = [0.62126539] and KGE_PRIME = [0.65528528]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61434134], KGE = [0.61870471] and KGE_PRIME = [0.65407477]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61486667], KGE = [0.61681069] and KGE_PRIME = [0.64873798]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61673805], KGE = [0.61523748] and KGE_PRIME = [0.6482777]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61792759], KGE = [0.61454042] and KGE_PRIME = [0.64441684]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62085672], KGE = [0.613476] and KGE_PRIME = [0.64523332]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61979447], KGE = [0.61001641] and KGE_PRIME = [0.64240726]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61984098], KGE = [0.60819759] and KGE_PRIME = [0.64102404]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61845636], KGE = [0.60497416] and KGE_PRIME = [0.63959251]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.6177039], KGE = [0.60292572] and KGE_PRIME = [0.63771729]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61739589], KGE = [0.60055448] and KGE_PRIME = [0.63582876]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61621817], KGE = [0.59896819] and KGE_PRIME = [0.63367882]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61722051], KGE = [0.5979942] and KGE_PRIME = [0.63172226]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61673488], KGE = [0.59591836] and KGE_PRIME = [0.63051617]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61644208], KGE = [0.5937872] and KGE_PRIME = [0.62949081]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61603587], KGE = [0.59145079] and KGE_PRIME = [0.62795657]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61682686], KGE = [0.5901465] and KGE_PRIME = [0.62753816]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61620934], KGE = [0.58880941] and KGE_PRIME = [0.62471646]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61506149], KGE = [0.58751843] and KGE_PRIME = [0.62232661]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61446324], KGE = [0.58682539] and KGE_PRIME = [0.62057035]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61582197], KGE = [0.58639511] and KGE_PRIME = [0.6211491]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61466418], KGE = [0.58477086] and KGE_PRIME = [0.61976941]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61481077], KGE = [0.58365062] and KGE_PRIME = [0.61897318]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61489501], KGE = [0.58200375] and KGE_PRIME = [0.61848386]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61495129], KGE = [0.58096682] and KGE_PRIME = [0.61707935]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61497118], KGE = [0.58019735] and KGE_PRIME = [0.61663915]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.6147596], KGE = [0.57926499] and KGE_PRIME = [0.61649802]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61427217], KGE = [0.57762267] and KGE_PRIME = [0.61516167]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61384706], KGE = [0.57676017] and KGE_PRIME = [0.61422905]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61377414], KGE = [0.57577942] and KGE_PRIME = [0.61387385]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61451693], KGE = [0.57515715] and KGE_PRIME = [0.61211686]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61471499], KGE = [0.57444624] and KGE_PRIME = [0.61142804]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61452604], KGE = [0.57342843] and KGE_PRIME = [0.61038789]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61449574], KGE = [0.57264468] and KGE_PRIME = [0.60991391]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61382833], KGE = [0.5715973] and KGE_PRIME = [0.60979209]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61358754], KGE = [0.57090488] and KGE_PRIME = [0.60914807]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61314082], KGE = [0.56958975] and KGE_PRIME = [0.60818669]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61282104], KGE = [0.56877079] and KGE_PRIME = [0.60748196]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 275 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '275', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_275_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61264256], KGE = [0.56779773] and KGE_PRIME = [0.60742324]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.69, 0.38)
NSE = [0.37846511], KGE = [0.67647668] and KGE_PRIME = [0.66918355]
R score: 0.38 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.55157442], KGE = [0.7263862] and KGE_PRIME = [0.73838289]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.6179004], KGE = [0.72814692] and KGE_PRIME = [0.7484459]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65598704], KGE = [0.73212033] and KGE_PRIME = [0.75299818]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67409228], KGE = [0.7283076] and KGE_PRIME = [0.75033415]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68616522], KGE = [0.7264968] and KGE_PRIME = [0.74337994]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69594803], KGE = [0.7235875] and KGE_PRIME = [0.74277811]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70035684], KGE = [0.71821018] and KGE_PRIME = [0.73730047]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.71)
NSE = [0.70551265], KGE = [0.71467583] and KGE_PRIME = [0.73573461]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71123163], KGE = [0.71175254] and KGE_PRIME = [0.7379176]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71380281], KGE = [0.71012715] and KGE_PRIME = [0.73700041]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.7139181], KGE = [0.70677771] and KGE_PRIME = [0.73553713]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71548191], KGE = [0.70381376] and KGE_PRIME = [0.73361885]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71777876], KGE = [0.70341433] and KGE_PRIME = [0.73208799]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71921863], KGE = [0.70166614] and KGE_PRIME = [0.72988065]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71959958], KGE = [0.69743374] and KGE_PRIME = [0.72692572]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72114892], KGE = [0.69365143] and KGE_PRIME = [0.72757429]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7195569], KGE = [0.69135083] and KGE_PRIME = [0.7240616]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72071539], KGE = [0.68990487] and KGE_PRIME = [0.72272078]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7209878], KGE = [0.68785612] and KGE_PRIME = [0.72080928]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72084785], KGE = [0.68528085] and KGE_PRIME = [0.71979334]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72100466], KGE = [0.6830303] and KGE_PRIME = [0.71519891]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72304657], KGE = [0.68190479] and KGE_PRIME = [0.71495383]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7217967], KGE = [0.67911785] and KGE_PRIME = [0.71179322]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72141838], KGE = [0.67746256] and KGE_PRIME = [0.71167931]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72082796], KGE = [0.67624453] and KGE_PRIME = [0.71001598]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72047893], KGE = [0.67412695] and KGE_PRIME = [0.70741737]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72090569], KGE = [0.67252609] and KGE_PRIME = [0.70701582]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72097422], KGE = [0.67183845] and KGE_PRIME = [0.70546184]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72079543], KGE = [0.67015961] and KGE_PRIME = [0.7030649]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72074709], KGE = [0.66760983] and KGE_PRIME = [0.70131089]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72102035], KGE = [0.66679185] and KGE_PRIME = [0.700823]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72065718], KGE = [0.66481957] and KGE_PRIME = [0.69950142]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72017992], KGE = [0.66272199] and KGE_PRIME = [0.6999637]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71941857], KGE = [0.66079775] and KGE_PRIME = [0.70027803]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71872091], KGE = [0.6596725] and KGE_PRIME = [0.69885965]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71895422], KGE = [0.65862029] and KGE_PRIME = [0.6986747]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71864726], KGE = [0.65764478] and KGE_PRIME = [0.69772787]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71773518], KGE = [0.65645153] and KGE_PRIME = [0.69691159]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71808404], KGE = [0.65585938] and KGE_PRIME = [0.6967688]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71747041], KGE = [0.65454075] and KGE_PRIME = [0.69627499]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71691789], KGE = [0.65296101] and KGE_PRIME = [0.69521178]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71689194], KGE = [0.65260983] and KGE_PRIME = [0.69365297]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71709712], KGE = [0.65162011] and KGE_PRIME = [0.69223811]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71705089], KGE = [0.65078614] and KGE_PRIME = [0.69071377]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71581479], KGE = [0.64950923] and KGE_PRIME = [0.68955264]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71604133], KGE = [0.64873095] and KGE_PRIME = [0.6889434]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71574239], KGE = [0.64738571] and KGE_PRIME = [0.6880779]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 280 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '280', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_280_winds_gradients_1D_tl3.nc
PCs loaded from file
20 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71590462], KGE = [0.64717515] and KGE_PRIME = [0.68693001]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.79, Relative - RMSE: 0.40
and Correlations (Pearson, Rscore): (0.64, 0.31)
NSE = [0.31292538], KGE = [0.62378252] and KGE_PRIME = [0.62943752]
R score: 0.31 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.70, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.69, 0.45)
NSE = [0.45449658], KGE = [0.64201135] and KGE_PRIME = [0.65153844]
R score: 0.45 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.66, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.72, 0.52)
NSE = [0.52132909], KGE = [0.63874538] and KGE_PRIME = [0.66533861]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.54801072], KGE = [0.63926727] and KGE_PRIME = [0.66202682]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.57)
NSE = [0.56812473], KGE = [0.63627819] and KGE_PRIME = [0.66462703]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.58019046], KGE = [0.63410879] and KGE_PRIME = [0.65480256]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58678107], KGE = [0.63168319] and KGE_PRIME = [0.65276634]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59113212], KGE = [0.62874458] and KGE_PRIME = [0.64872343]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59394287], KGE = [0.62456134] and KGE_PRIME = [0.64622326]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59573054], KGE = [0.61966428] and KGE_PRIME = [0.63997682]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59966948], KGE = [0.61654233] and KGE_PRIME = [0.63861478]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60048439], KGE = [0.61393872] and KGE_PRIME = [0.63462098]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60100128], KGE = [0.61196957] and KGE_PRIME = [0.63139332]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60331196], KGE = [0.60992125] and KGE_PRIME = [0.63133629]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.6055963], KGE = [0.60903659] and KGE_PRIME = [0.63128884]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60372817], KGE = [0.60601219] and KGE_PRIME = [0.62740963]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60326843], KGE = [0.60409105] and KGE_PRIME = [0.6256511]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60466386], KGE = [0.60263425] and KGE_PRIME = [0.62422018]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60438361], KGE = [0.59953599] and KGE_PRIME = [0.6203505]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.6055715], KGE = [0.59747005] and KGE_PRIME = [0.61811758]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60659385], KGE = [0.59627945] and KGE_PRIME = [0.6181411]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60667198], KGE = [0.59488329] and KGE_PRIME = [0.61760102]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60708023], KGE = [0.59320821] and KGE_PRIME = [0.61578868]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60871648], KGE = [0.59221465] and KGE_PRIME = [0.61590951]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60792669], KGE = [0.59084632] and KGE_PRIME = [0.6154266]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60743535], KGE = [0.58947784] and KGE_PRIME = [0.61515681]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60612294], KGE = [0.58733912] and KGE_PRIME = [0.6124472]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60607191], KGE = [0.58632069] and KGE_PRIME = [0.61129445]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60547319], KGE = [0.58429935] and KGE_PRIME = [0.61035868]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60520522], KGE = [0.58275341] and KGE_PRIME = [0.60864147]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60491535], KGE = [0.58113846] and KGE_PRIME = [0.60856268]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60440392], KGE = [0.579638] and KGE_PRIME = [0.60490532]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60430183], KGE = [0.57813935] and KGE_PRIME = [0.60430827]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60424032], KGE = [0.57718761] and KGE_PRIME = [0.60456897]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60348836], KGE = [0.57574955] and KGE_PRIME = [0.60411714]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60400485], KGE = [0.57510786] and KGE_PRIME = [0.60408603]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60310862], KGE = [0.57423399] and KGE_PRIME = [0.6028748]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60278513], KGE = [0.57368749] and KGE_PRIME = [0.60188742]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60232337], KGE = [0.5719994] and KGE_PRIME = [0.60076404]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60189248], KGE = [0.57040321] and KGE_PRIME = [0.5993082]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60071088], KGE = [0.56914956] and KGE_PRIME = [0.59719741]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60008605], KGE = [0.56809771] and KGE_PRIME = [0.59670939]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60078354], KGE = [0.56747699] and KGE_PRIME = [0.59687927]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60054766], KGE = [0.56628328] and KGE_PRIME = [0.59608534]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60019442], KGE = [0.56522912] and KGE_PRIME = [0.5946663]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.6000544], KGE = [0.5644096] and KGE_PRIME = [0.59435822]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60000511], KGE = [0.56381196] and KGE_PRIME = [0.59429082]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59967207], KGE = [0.56262758] and KGE_PRIME = [0.59418027]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 285 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '285', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_285_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59950372], KGE = [0.56166382] and KGE_PRIME = [0.59351768]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.79, Relative - RMSE: 0.40
and Correlations (Pearson, Rscore): (0.63, 0.32)
NSE = [0.31615504], KGE = [0.61938526] and KGE_PRIME = [0.62620403]
R score: 0.32 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.70, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.68, 0.45)
NSE = [0.44952264], KGE = [0.63351361] and KGE_PRIME = [0.64742292]
R score: 0.45 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.66, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.72, 0.51)
NSE = [0.51464728], KGE = [0.6281395] and KGE_PRIME = [0.6592203]
R score: 0.51 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.54)
NSE = [0.53864238], KGE = [0.62710051] and KGE_PRIME = [0.65627707]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55882177], KGE = [0.62513133] and KGE_PRIME = [0.6562963]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56884001], KGE = [0.62108396] and KGE_PRIME = [0.64848289]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57757722], KGE = [0.61968323] and KGE_PRIME = [0.64829332]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58472884], KGE = [0.61887821] and KGE_PRIME = [0.64382579]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58705421], KGE = [0.61412574] and KGE_PRIME = [0.64028657]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58751754], KGE = [0.61021395] and KGE_PRIME = [0.63348293]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59149074], KGE = [0.60590246] and KGE_PRIME = [0.63024559]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59261123], KGE = [0.60297478] and KGE_PRIME = [0.6289281]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59253557], KGE = [0.6008494] and KGE_PRIME = [0.62546065]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59626219], KGE = [0.60013627] and KGE_PRIME = [0.6256084]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59772463], KGE = [0.59924579] and KGE_PRIME = [0.62338789]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59443866], KGE = [0.59509974] and KGE_PRIME = [0.61937477]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59406241], KGE = [0.59218748] and KGE_PRIME = [0.61743025]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59522924], KGE = [0.59037515] and KGE_PRIME = [0.61678866]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59635927], KGE = [0.58875622] and KGE_PRIME = [0.61596817]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59731569], KGE = [0.5870787] and KGE_PRIME = [0.6127128]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59762392], KGE = [0.58527439] and KGE_PRIME = [0.61251963]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59821897], KGE = [0.58366963] and KGE_PRIME = [0.61119549]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59820348], KGE = [0.58157404] and KGE_PRIME = [0.60990312]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59959615], KGE = [0.58134536] and KGE_PRIME = [0.60982113]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59866896], KGE = [0.57917639] and KGE_PRIME = [0.60871301]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59846434], KGE = [0.57787939] and KGE_PRIME = [0.60864887]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59811657], KGE = [0.57652215] and KGE_PRIME = [0.60717031]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59818232], KGE = [0.57524062] and KGE_PRIME = [0.60524549]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59709481], KGE = [0.57378338] and KGE_PRIME = [0.60349138]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59686316], KGE = [0.57260504] and KGE_PRIME = [0.60260148]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59664994], KGE = [0.57074406] and KGE_PRIME = [0.60166193]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59604354], KGE = [0.56879247] and KGE_PRIME = [0.59975826]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59513067], KGE = [0.56727] and KGE_PRIME = [0.59735241]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59476325], KGE = [0.56576499] and KGE_PRIME = [0.59647206]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59445457], KGE = [0.56463777] and KGE_PRIME = [0.59652128]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59477358], KGE = [0.56368065] and KGE_PRIME = [0.59562731]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.5936904], KGE = [0.56205197] and KGE_PRIME = [0.59568863]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59332939], KGE = [0.56119711] and KGE_PRIME = [0.59503268]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59283178], KGE = [0.56003222] and KGE_PRIME = [0.59371653]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59338195], KGE = [0.55926606] and KGE_PRIME = [0.59281338]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59210248], KGE = [0.55780503] and KGE_PRIME = [0.5916241]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59172441], KGE = [0.55702696] and KGE_PRIME = [0.59038527]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59177616], KGE = [0.55590381] and KGE_PRIME = [0.58994213]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59167626], KGE = [0.55519773] and KGE_PRIME = [0.58956082]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59154344], KGE = [0.55407963] and KGE_PRIME = [0.58877856]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.5912517], KGE = [0.55310264] and KGE_PRIME = [0.58820403]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59057663], KGE = [0.55215833] and KGE_PRIME = [0.58713392]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.5905513], KGE = [0.55122115] and KGE_PRIME = [0.58652817]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 290 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '290', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_290_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59010413], KGE = [0.55027133] and KGE_PRIME = [0.58650516]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.69, 0.40)
NSE = [0.39926902], KGE = [0.6857238] and KGE_PRIME = [0.68188001]
R score: 0.4 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57358077], KGE = [0.73227756] and KGE_PRIME = [0.74890266]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63189342], KGE = [0.72455073] and KGE_PRIME = [0.76211886]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.66143906], KGE = [0.72105123] and KGE_PRIME = [0.76412062]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68143405], KGE = [0.72416415] and KGE_PRIME = [0.76283385]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.69168733], KGE = [0.72002822] and KGE_PRIME = [0.75790925]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69573645], KGE = [0.71457473] and KGE_PRIME = [0.75538226]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70064801], KGE = [0.71003379] and KGE_PRIME = [0.75042265]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70751209], KGE = [0.70951591] and KGE_PRIME = [0.74617505]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70816266], KGE = [0.70458901] and KGE_PRIME = [0.73924534]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71169969], KGE = [0.70087172] and KGE_PRIME = [0.73867484]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.7153335], KGE = [0.69902962] and KGE_PRIME = [0.73673264]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71676708], KGE = [0.69701625] and KGE_PRIME = [0.73736107]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71726267], KGE = [0.69322057] and KGE_PRIME = [0.73656862]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7203878], KGE = [0.69310583] and KGE_PRIME = [0.73641873]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72163171], KGE = [0.69030159] and KGE_PRIME = [0.73489276]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72146842], KGE = [0.6877179] and KGE_PRIME = [0.73354833]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72171881], KGE = [0.68648931] and KGE_PRIME = [0.73053074]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72174048], KGE = [0.68307741] and KGE_PRIME = [0.7286099]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72302922], KGE = [0.68181504] and KGE_PRIME = [0.72726848]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72337747], KGE = [0.67986114] and KGE_PRIME = [0.72641447]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72267401], KGE = [0.67685756] and KGE_PRIME = [0.72474749]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72294279], KGE = [0.6747546] and KGE_PRIME = [0.72385401]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72306325], KGE = [0.67331593] and KGE_PRIME = [0.72252313]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72247891], KGE = [0.671458] and KGE_PRIME = [0.72039139]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72147617], KGE = [0.66963666] and KGE_PRIME = [0.71785515]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72124424], KGE = [0.66768533] and KGE_PRIME = [0.71633355]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72140044], KGE = [0.66576597] and KGE_PRIME = [0.71580209]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72138682], KGE = [0.6652117] and KGE_PRIME = [0.7137941]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7211789], KGE = [0.66350295] and KGE_PRIME = [0.71378716]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72094548], KGE = [0.662556] and KGE_PRIME = [0.7120471]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72094888], KGE = [0.66151664] and KGE_PRIME = [0.71175303]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7208343], KGE = [0.66053089] and KGE_PRIME = [0.71085428]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72020947], KGE = [0.65903332] and KGE_PRIME = [0.70841555]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71931646], KGE = [0.65718114] and KGE_PRIME = [0.7069266]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71913086], KGE = [0.65606004] and KGE_PRIME = [0.70630611]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71916315], KGE = [0.65497599] and KGE_PRIME = [0.70589763]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7196108], KGE = [0.65413429] and KGE_PRIME = [0.70504533]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71930019], KGE = [0.65348021] and KGE_PRIME = [0.7039649]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71898077], KGE = [0.65286218] and KGE_PRIME = [0.70222501]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71860792], KGE = [0.65164828] and KGE_PRIME = [0.70057163]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71846592], KGE = [0.65031713] and KGE_PRIME = [0.69916977]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71819112], KGE = [0.64956775] and KGE_PRIME = [0.698643]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71782272], KGE = [0.64816549] and KGE_PRIME = [0.69751355]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71750169], KGE = [0.64690838] and KGE_PRIME = [0.69688921]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71714937], KGE = [0.6456318] and KGE_PRIME = [0.69673826]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71736027], KGE = [0.64470762] and KGE_PRIME = [0.69628492]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71714932], KGE = [0.64331002] and KGE_PRIME = [0.69608368]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 295 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '295', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_295_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71681314], KGE = [0.6421349] and KGE_PRIME = [0.6961001]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.81, Relative - RMSE: 0.42
and Correlations (Pearson, Rscore): (0.61, 0.27)
NSE = [0.26946194], KGE = [0.58837026] and KGE_PRIME = [0.59268923]
R score: 0.27 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.67, 0.42)
NSE = [0.42428517], KGE = [0.61361661] and KGE_PRIME = [0.63699866]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.68, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.70, 0.49)
NSE = [0.48710106], KGE = [0.6086037] and KGE_PRIME = [0.64110581]
R score: 0.49 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.66, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.72, 0.52)
NSE = [0.52268682], KGE = [0.61082276] and KGE_PRIME = [0.64850727]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.54418259], KGE = [0.60765245] and KGE_PRIME = [0.64663639]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55504164], KGE = [0.60474706] and KGE_PRIME = [0.64380955]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.5630515], KGE = [0.60163988] and KGE_PRIME = [0.63763758]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56738109], KGE = [0.59730237] and KGE_PRIME = [0.63470573]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57358018], KGE = [0.59512145] and KGE_PRIME = [0.63349212]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.5746113], KGE = [0.59316452] and KGE_PRIME = [0.62877595]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57723338], KGE = [0.58951326] and KGE_PRIME = [0.62447079]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57766036], KGE = [0.58653721] and KGE_PRIME = [0.62105007]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58006545], KGE = [0.58385257] and KGE_PRIME = [0.62212198]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58065894], KGE = [0.58205703] and KGE_PRIME = [0.62231434]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58218601], KGE = [0.58113759] and KGE_PRIME = [0.6181481]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58394504], KGE = [0.57924108] and KGE_PRIME = [0.61907208]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58349795], KGE = [0.57772787] and KGE_PRIME = [0.61440134]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58565687], KGE = [0.57720749] and KGE_PRIME = [0.61447916]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58415795], KGE = [0.57458693] and KGE_PRIME = [0.61311796]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58601916], KGE = [0.57409318] and KGE_PRIME = [0.61294843]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58721235], KGE = [0.57318032] and KGE_PRIME = [0.61087608]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58755026], KGE = [0.5703144] and KGE_PRIME = [0.61016006]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58669224], KGE = [0.56798676] and KGE_PRIME = [0.60822087]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58556504], KGE = [0.56620213] and KGE_PRIME = [0.60524236]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58598141], KGE = [0.56488637] and KGE_PRIME = [0.6035041]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58498265], KGE = [0.56325723] and KGE_PRIME = [0.60109991]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58395295], KGE = [0.56178433] and KGE_PRIME = [0.59768078]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58347999], KGE = [0.55972388] and KGE_PRIME = [0.59775897]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58322943], KGE = [0.55797568] and KGE_PRIME = [0.59654829]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58260028], KGE = [0.55620783] and KGE_PRIME = [0.59534304]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58280173], KGE = [0.55517524] and KGE_PRIME = [0.59521809]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58292427], KGE = [0.55404153] and KGE_PRIME = [0.59438095]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58174349], KGE = [0.55271155] and KGE_PRIME = [0.59283677]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58160029], KGE = [0.55222661] and KGE_PRIME = [0.59140885]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58140412], KGE = [0.55064899] and KGE_PRIME = [0.58991035]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58124954], KGE = [0.54953452] and KGE_PRIME = [0.58856372]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58139631], KGE = [0.54881062] and KGE_PRIME = [0.58854669]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58082126], KGE = [0.54747962] and KGE_PRIME = [0.58730574]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57988817], KGE = [0.54624516] and KGE_PRIME = [0.58642828]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57990999], KGE = [0.54503114] and KGE_PRIME = [0.58509044]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5792622], KGE = [0.5435035] and KGE_PRIME = [0.58373]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57933742], KGE = [0.54291568] and KGE_PRIME = [0.58264499]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57912801], KGE = [0.5414185] and KGE_PRIME = [0.5818047]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57854731], KGE = [0.54053295] and KGE_PRIME = [0.58147843]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57775714], KGE = [0.53934258] and KGE_PRIME = [0.58098579]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57737123], KGE = [0.53849567] and KGE_PRIME = [0.58028306]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57671192], KGE = [0.53707362] and KGE_PRIME = [0.58038209]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57674723], KGE = [0.53672152] and KGE_PRIME = [0.57904917]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 300 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '300', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_300_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57626151], KGE = [0.53575474] and KGE_PRIME = [0.57834148]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.41)
NSE = [0.40996029], KGE = [0.69384269] and KGE_PRIME = [0.6952763]
R score: 0.41 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57260893], KGE = [0.72798569] and KGE_PRIME = [0.74789806]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63533848], KGE = [0.72621019] and KGE_PRIME = [0.76115242]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66346622], KGE = [0.71872051] and KGE_PRIME = [0.76298957]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68117718], KGE = [0.71993668] and KGE_PRIME = [0.76162197]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69715757], KGE = [0.71939842] and KGE_PRIME = [0.76442682]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70285678], KGE = [0.71531205] and KGE_PRIME = [0.75672534]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.71)
NSE = [0.70717434], KGE = [0.71165615] and KGE_PRIME = [0.75301341]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70896718], KGE = [0.70725192] and KGE_PRIME = [0.75165609]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70950495], KGE = [0.70249497] and KGE_PRIME = [0.74712049]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.7139932], KGE = [0.70117008] and KGE_PRIME = [0.74450185]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71742355], KGE = [0.69845092] and KGE_PRIME = [0.74460075]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72009163], KGE = [0.69706897] and KGE_PRIME = [0.74195694]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71989122], KGE = [0.69380543] and KGE_PRIME = [0.73902832]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72053329], KGE = [0.69174382] and KGE_PRIME = [0.73374733]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72063805], KGE = [0.68852775] and KGE_PRIME = [0.73442464]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7220256], KGE = [0.68657909] and KGE_PRIME = [0.73314564]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72174817], KGE = [0.68388475] and KGE_PRIME = [0.73063171]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72224037], KGE = [0.68287094] and KGE_PRIME = [0.72744441]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72280379], KGE = [0.68061353] and KGE_PRIME = [0.7258236]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72229838], KGE = [0.67785009] and KGE_PRIME = [0.72473346]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72364656], KGE = [0.67722227] and KGE_PRIME = [0.72505635]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72273492], KGE = [0.67524517] and KGE_PRIME = [0.72282918]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72146454], KGE = [0.67191217] and KGE_PRIME = [0.72019117]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72179533], KGE = [0.67065045] and KGE_PRIME = [0.71872239]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72188422], KGE = [0.669112] and KGE_PRIME = [0.71803182]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72088593], KGE = [0.66601699] and KGE_PRIME = [0.71623024]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72138944], KGE = [0.66478649] and KGE_PRIME = [0.71473895]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72126377], KGE = [0.66437139] and KGE_PRIME = [0.71293369]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7217843], KGE = [0.66304378] and KGE_PRIME = [0.71251984]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72055528], KGE = [0.66129545] and KGE_PRIME = [0.71065787]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72032832], KGE = [0.65984967] and KGE_PRIME = [0.70942466]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71977261], KGE = [0.65858319] and KGE_PRIME = [0.70744013]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72062081], KGE = [0.65823675] and KGE_PRIME = [0.70737724]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72024258], KGE = [0.65733927] and KGE_PRIME = [0.70629701]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7196581], KGE = [0.65547844] and KGE_PRIME = [0.70546986]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7192059], KGE = [0.65386928] and KGE_PRIME = [0.70564575]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71895388], KGE = [0.65283847] and KGE_PRIME = [0.70514462]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7181429], KGE = [0.65155098] and KGE_PRIME = [0.70354274]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71861794], KGE = [0.65098505] and KGE_PRIME = [0.70325093]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71857471], KGE = [0.65023505] and KGE_PRIME = [0.70221376]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71799382], KGE = [0.64862627] and KGE_PRIME = [0.70087977]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71755282], KGE = [0.64746278] and KGE_PRIME = [0.69975974]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71747117], KGE = [0.64687133] and KGE_PRIME = [0.69830388]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71774185], KGE = [0.6461733] and KGE_PRIME = [0.69755935]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71737611], KGE = [0.64489844] and KGE_PRIME = [0.69612805]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71752066], KGE = [0.6443222] and KGE_PRIME = [0.69536978]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71696841], KGE = [0.64266471] and KGE_PRIME = [0.69439951]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 305 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '305', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_305_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71673009], KGE = [0.64162425] and KGE_PRIME = [0.69425954]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.42)
NSE = [0.41556454], KGE = [0.69332844] and KGE_PRIME = [0.69447533]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57718096], KGE = [0.72748376] and KGE_PRIME = [0.74839457]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63504584], KGE = [0.72498791] and KGE_PRIME = [0.75981439]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66490084], KGE = [0.71844872] and KGE_PRIME = [0.7627232]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68289736], KGE = [0.71923103] and KGE_PRIME = [0.76232273]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69647632], KGE = [0.71775157] and KGE_PRIME = [0.76264283]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70223502], KGE = [0.71213513] and KGE_PRIME = [0.75522257]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.71)
NSE = [0.70625459], KGE = [0.70883887] and KGE_PRIME = [0.75279001]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70943073], KGE = [0.70584363] and KGE_PRIME = [0.75210594]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71115283], KGE = [0.70072866] and KGE_PRIME = [0.74835555]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71556665], KGE = [0.69852867] and KGE_PRIME = [0.744599]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71781793], KGE = [0.69453919] and KGE_PRIME = [0.74462892]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72031688], KGE = [0.6940724] and KGE_PRIME = [0.74120389]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72023517], KGE = [0.69125369] and KGE_PRIME = [0.73979211]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72146105], KGE = [0.68888608] and KGE_PRIME = [0.7356453]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72127601], KGE = [0.68681032] and KGE_PRIME = [0.73510722]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72149737], KGE = [0.68446109] and KGE_PRIME = [0.73370803]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72229171], KGE = [0.68186562] and KGE_PRIME = [0.73122015]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72285578], KGE = [0.68011443] and KGE_PRIME = [0.72892382]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72316606], KGE = [0.67792911] and KGE_PRIME = [0.72697103]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72257469], KGE = [0.67606058] and KGE_PRIME = [0.72517125]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72391504], KGE = [0.67377067] and KGE_PRIME = [0.72514529]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72349663], KGE = [0.67286121] and KGE_PRIME = [0.7227766]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72304834], KGE = [0.670156] and KGE_PRIME = [0.72050072]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72250214], KGE = [0.6691092] and KGE_PRIME = [0.71808611]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72214962], KGE = [0.66627753] and KGE_PRIME = [0.7180973]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72136276], KGE = [0.66427749] and KGE_PRIME = [0.71570986]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7215024], KGE = [0.66244656] and KGE_PRIME = [0.71508802]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72090972], KGE = [0.66146803] and KGE_PRIME = [0.71345179]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72087382], KGE = [0.6600283] and KGE_PRIME = [0.71256973]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72111763], KGE = [0.65907812] and KGE_PRIME = [0.71198546]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72088547], KGE = [0.65719855] and KGE_PRIME = [0.70950654]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72032386], KGE = [0.65587929] and KGE_PRIME = [0.70876057]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72020995], KGE = [0.65502313] and KGE_PRIME = [0.7074305]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71987715], KGE = [0.65421488] and KGE_PRIME = [0.70692702]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71994872], KGE = [0.65364335] and KGE_PRIME = [0.70645158]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71888312], KGE = [0.65128379] and KGE_PRIME = [0.70594349]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7187935], KGE = [0.6501121] and KGE_PRIME = [0.7044553]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71866632], KGE = [0.64972382] and KGE_PRIME = [0.7039731]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71893776], KGE = [0.64894739] and KGE_PRIME = [0.70284896]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7191281], KGE = [0.64789063] and KGE_PRIME = [0.70248479]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71877405], KGE = [0.64685321] and KGE_PRIME = [0.70120619]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71870443], KGE = [0.64562052] and KGE_PRIME = [0.70035272]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7183402], KGE = [0.64423047] and KGE_PRIME = [0.69966253]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71780938], KGE = [0.6432365] and KGE_PRIME = [0.69857461]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7179617], KGE = [0.64264559] and KGE_PRIME = [0.69768942]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71726301], KGE = [0.64155201] and KGE_PRIME = [0.69658282]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71709957], KGE = [0.64068164] and KGE_PRIME = [0.69560079]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 310 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '310', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_310_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71664907], KGE = [0.63945419] and KGE_PRIME = [0.69471738]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.42)
NSE = [0.42354372], KGE = [0.69324346] and KGE_PRIME = [0.69413465]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57484313], KGE = [0.72790919] and KGE_PRIME = [0.74778906]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63522623], KGE = [0.72176095] and KGE_PRIME = [0.75870495]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.66253302], KGE = [0.71433249] and KGE_PRIME = [0.75957665]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67927766], KGE = [0.71529228] and KGE_PRIME = [0.76084489]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6944008], KGE = [0.71499969] and KGE_PRIME = [0.76070994]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70188165], KGE = [0.70989476] and KGE_PRIME = [0.75394057]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.71)
NSE = [0.7059798], KGE = [0.70656104] and KGE_PRIME = [0.7543815]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70835718], KGE = [0.70333441] and KGE_PRIME = [0.75347581]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70935339], KGE = [0.69756462] and KGE_PRIME = [0.74735919]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71409987], KGE = [0.69722073] and KGE_PRIME = [0.74589651]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71619034], KGE = [0.69283616] and KGE_PRIME = [0.74391689]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71847981], KGE = [0.69074636] and KGE_PRIME = [0.74113075]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7194609], KGE = [0.68957967] and KGE_PRIME = [0.74077965]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71999992], KGE = [0.68748298] and KGE_PRIME = [0.73821476]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72107351], KGE = [0.68522043] and KGE_PRIME = [0.73643978]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72116046], KGE = [0.68242305] and KGE_PRIME = [0.73396842]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72147915], KGE = [0.68003617] and KGE_PRIME = [0.73180644]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72197392], KGE = [0.67788106] and KGE_PRIME = [0.72986598]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72166687], KGE = [0.67539342] and KGE_PRIME = [0.72768193]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72176116], KGE = [0.67426713] and KGE_PRIME = [0.72573605]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7223473], KGE = [0.6726147] and KGE_PRIME = [0.72324311]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72167539], KGE = [0.66959616] and KGE_PRIME = [0.72215249]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72205923], KGE = [0.66833849] and KGE_PRIME = [0.72104162]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72192449], KGE = [0.66638471] and KGE_PRIME = [0.71935971]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72133247], KGE = [0.66445291] and KGE_PRIME = [0.71751757]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72015356], KGE = [0.66213779] and KGE_PRIME = [0.7158287]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71955291], KGE = [0.66019287] and KGE_PRIME = [0.71425004]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71935035], KGE = [0.65865815] and KGE_PRIME = [0.71283695]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71906559], KGE = [0.65721218] and KGE_PRIME = [0.71144403]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71931413], KGE = [0.65603276] and KGE_PRIME = [0.71082555]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71937588], KGE = [0.65485786] and KGE_PRIME = [0.70988441]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71939897], KGE = [0.65378646] and KGE_PRIME = [0.71007097]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71941661], KGE = [0.65255716] and KGE_PRIME = [0.70724813]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.718507], KGE = [0.65196066] and KGE_PRIME = [0.70632876]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71815242], KGE = [0.65056875] and KGE_PRIME = [0.70573652]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7174946], KGE = [0.64867885] and KGE_PRIME = [0.70507836]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71782652], KGE = [0.64810123] and KGE_PRIME = [0.70505142]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71731346], KGE = [0.64655851] and KGE_PRIME = [0.7035957]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7174192], KGE = [0.6464325] and KGE_PRIME = [0.70231034]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71722156], KGE = [0.64525681] and KGE_PRIME = [0.7015066]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7170482], KGE = [0.6445079] and KGE_PRIME = [0.70036943]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71710225], KGE = [0.64302649] and KGE_PRIME = [0.69977951]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71701988], KGE = [0.64219556] and KGE_PRIME = [0.69927311]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71672571], KGE = [0.64086452] and KGE_PRIME = [0.6985069]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71660021], KGE = [0.64034451] and KGE_PRIME = [0.69724933]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71644566], KGE = [0.63920115] and KGE_PRIME = [0.69701751]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71602075], KGE = [0.63797719] and KGE_PRIME = [0.69599665]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 315 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '315', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_315_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71579435], KGE = [0.63700622] and KGE_PRIME = [0.69535875]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.82, Relative - RMSE: 0.42
and Correlations (Pearson, Rscore): (0.60, 0.26)
NSE = [0.26094609], KGE = [0.58589313] and KGE_PRIME = [0.59134207]
R score: 0.26 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.67, 0.42)
NSE = [0.42396283], KGE = [0.6173137] and KGE_PRIME = [0.64234619]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.67, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.71, 0.50)
NSE = [0.4991522], KGE = [0.61889917] and KGE_PRIME = [0.64566989]
R score: 0.5 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.66, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.52544464], KGE = [0.61279869] and KGE_PRIME = [0.645179]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.5414921], KGE = [0.60872038] and KGE_PRIME = [0.64263646]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.55402566], KGE = [0.60578638] and KGE_PRIME = [0.64047351]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.56095096], KGE = [0.6015422] and KGE_PRIME = [0.63252517]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56704774], KGE = [0.59732971] and KGE_PRIME = [0.6297129]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57227767], KGE = [0.59493017] and KGE_PRIME = [0.62706169]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57569623], KGE = [0.59328255] and KGE_PRIME = [0.62266168]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.5754464], KGE = [0.58972789] and KGE_PRIME = [0.62342907]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57942906], KGE = [0.5881928] and KGE_PRIME = [0.62052941]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58304477], KGE = [0.58414779] and KGE_PRIME = [0.61834595]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58343551], KGE = [0.58318886] and KGE_PRIME = [0.61809571]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58255516], KGE = [0.57940074] and KGE_PRIME = [0.61580032]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58227171], KGE = [0.57664413] and KGE_PRIME = [0.614664]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58377375], KGE = [0.57355232] and KGE_PRIME = [0.61254984]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5838758], KGE = [0.57070969] and KGE_PRIME = [0.61231899]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58412857], KGE = [0.56923333] and KGE_PRIME = [0.61058002]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58360582], KGE = [0.56737421] and KGE_PRIME = [0.60742568]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5837259], KGE = [0.56636206] and KGE_PRIME = [0.60551888]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58556924], KGE = [0.56562641] and KGE_PRIME = [0.60519884]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58449027], KGE = [0.56313953] and KGE_PRIME = [0.60330944]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5841908], KGE = [0.56219334] and KGE_PRIME = [0.60368083]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5849196], KGE = [0.56110239] and KGE_PRIME = [0.60263265]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58463069], KGE = [0.56055329] and KGE_PRIME = [0.60149491]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58440533], KGE = [0.55918138] and KGE_PRIME = [0.59950681]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5836775], KGE = [0.55799314] and KGE_PRIME = [0.59814608]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5837974], KGE = [0.55611407] and KGE_PRIME = [0.59724225]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58316066], KGE = [0.55413718] and KGE_PRIME = [0.59499928]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58313425], KGE = [0.55290415] and KGE_PRIME = [0.59359535]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58275423], KGE = [0.55157197] and KGE_PRIME = [0.59283207]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58219807], KGE = [0.55053727] and KGE_PRIME = [0.59189434]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58175304], KGE = [0.54927169] and KGE_PRIME = [0.59225572]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58140203], KGE = [0.54812131] and KGE_PRIME = [0.59113562]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58105707], KGE = [0.54718063] and KGE_PRIME = [0.59055253]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58070077], KGE = [0.54618281] and KGE_PRIME = [0.58937735]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.580049], KGE = [0.54507732] and KGE_PRIME = [0.58849882]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57994168], KGE = [0.54333708] and KGE_PRIME = [0.5878284]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57972737], KGE = [0.5429781] and KGE_PRIME = [0.58630658]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57940529], KGE = [0.54202579] and KGE_PRIME = [0.58498065]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5791078], KGE = [0.54095836] and KGE_PRIME = [0.58436161]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5780583], KGE = [0.53961239] and KGE_PRIME = [0.58340484]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57738565], KGE = [0.53884436] and KGE_PRIME = [0.58195428]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57686114], KGE = [0.53720363] and KGE_PRIME = [0.58088452]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57706973], KGE = [0.53648904] and KGE_PRIME = [0.5803286]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57669572], KGE = [0.53546306] and KGE_PRIME = [0.57985739]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57658939], KGE = [0.53493096] and KGE_PRIME = [0.57920129]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 320 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '320', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_320_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57634935], KGE = [0.53463978] and KGE_PRIME = [0.5798101]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.82, Relative - RMSE: 0.42
and Correlations (Pearson, Rscore): (0.60, 0.25)
NSE = [0.25447813], KGE = [0.58195926] and KGE_PRIME = [0.5890408]
R score: 0.25 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.67, 0.42)
NSE = [0.4229603], KGE = [0.61186448] and KGE_PRIME = [0.6343057]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.68, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.70, 0.49)
NSE = [0.49384946], KGE = [0.61323915] and KGE_PRIME = [0.64138101]
R score: 0.49 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.66, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.72, 0.52)
NSE = [0.51935215], KGE = [0.60657879] and KGE_PRIME = [0.64211046]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.54)
NSE = [0.53728607], KGE = [0.60204915] and KGE_PRIME = [0.63790591]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.55041819], KGE = [0.59929641] and KGE_PRIME = [0.63640085]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55571062], KGE = [0.59412986] and KGE_PRIME = [0.6263872]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.56098598], KGE = [0.58952255] and KGE_PRIME = [0.62324609]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56648301], KGE = [0.5889047] and KGE_PRIME = [0.62070454]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56847733], KGE = [0.5856253] and KGE_PRIME = [0.6176898]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57084786], KGE = [0.58221456] and KGE_PRIME = [0.61822763]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57335087], KGE = [0.58046227] and KGE_PRIME = [0.61356438]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57407524], KGE = [0.5772502] and KGE_PRIME = [0.61289378]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57652858], KGE = [0.57434512] and KGE_PRIME = [0.61428212]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57860867], KGE = [0.57295996] and KGE_PRIME = [0.61358081]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57846519], KGE = [0.56930258] and KGE_PRIME = [0.61042834]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57886116], KGE = [0.5666475] and KGE_PRIME = [0.60800371]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57956584], KGE = [0.56477358] and KGE_PRIME = [0.60721874]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57888285], KGE = [0.56263985] and KGE_PRIME = [0.60411278]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57777672], KGE = [0.56028061] and KGE_PRIME = [0.60352567]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5791972], KGE = [0.55914969] and KGE_PRIME = [0.60325824]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57970422], KGE = [0.55715086] and KGE_PRIME = [0.60152244]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58021216], KGE = [0.55637775] and KGE_PRIME = [0.60066479]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57998503], KGE = [0.55520786] and KGE_PRIME = [0.59969105]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57925595], KGE = [0.5543088] and KGE_PRIME = [0.59746602]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57825418], KGE = [0.55246901] and KGE_PRIME = [0.59485978]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57786742], KGE = [0.55147246] and KGE_PRIME = [0.59394723]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.579265], KGE = [0.55083944] and KGE_PRIME = [0.59313462]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57952304], KGE = [0.54936115] and KGE_PRIME = [0.59205646]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57800324], KGE = [0.54700451] and KGE_PRIME = [0.59107986]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57751129], KGE = [0.54576756] and KGE_PRIME = [0.59056822]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57684628], KGE = [0.54400581] and KGE_PRIME = [0.58846263]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57723883], KGE = [0.54346235] and KGE_PRIME = [0.58782444]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57654295], KGE = [0.54184495] and KGE_PRIME = [0.58738463]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57622277], KGE = [0.54035852] and KGE_PRIME = [0.58617017]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57544621], KGE = [0.53901487] and KGE_PRIME = [0.5854736]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57512461], KGE = [0.53789079] and KGE_PRIME = [0.58489921]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57428213], KGE = [0.53708729] and KGE_PRIME = [0.58391744]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57397281], KGE = [0.53600822] and KGE_PRIME = [0.58216895]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57443452], KGE = [0.53582061] and KGE_PRIME = [0.58162649]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57410106], KGE = [0.53465945] and KGE_PRIME = [0.58080985]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57339958], KGE = [0.53396136] and KGE_PRIME = [0.57939746]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57290461], KGE = [0.53297772] and KGE_PRIME = [0.5776827]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57237617], KGE = [0.53139141] and KGE_PRIME = [0.57730649]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57198154], KGE = [0.52990894] and KGE_PRIME = [0.57718906]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.5719494], KGE = [0.52988198] and KGE_PRIME = [0.57634181]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57185938], KGE = [0.52861347] and KGE_PRIME = [0.57607396]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57210768], KGE = [0.52855778] and KGE_PRIME = [0.57552553]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 325 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '325', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_325_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57148346], KGE = [0.52769049] and KGE_PRIME = [0.57486073]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.43)
NSE = [0.42502494], KGE = [0.6901844] and KGE_PRIME = [0.69084878]
R score: 0.43 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.5911525], KGE = [0.72288811] and KGE_PRIME = [0.75258971]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64498492], KGE = [0.72062713] and KGE_PRIME = [0.76345207]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.6667818], KGE = [0.72010715] and KGE_PRIME = [0.76407984]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68489428], KGE = [0.71860294] and KGE_PRIME = [0.76170271]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69770375], KGE = [0.71655924] and KGE_PRIME = [0.7606566]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.71)
NSE = [0.70510847], KGE = [0.71206195] and KGE_PRIME = [0.75729453]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.708099], KGE = [0.70604927] and KGE_PRIME = [0.75350398]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71177338], KGE = [0.70370827] and KGE_PRIME = [0.75091263]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71554427], KGE = [0.70154073] and KGE_PRIME = [0.74829889]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71926857], KGE = [0.69924541] and KGE_PRIME = [0.74951375]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.720627], KGE = [0.69750894] and KGE_PRIME = [0.74816487]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72253781], KGE = [0.69425036] and KGE_PRIME = [0.74691325]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72238661], KGE = [0.68856542] and KGE_PRIME = [0.74427631]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72457412], KGE = [0.68662507] and KGE_PRIME = [0.74127136]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.73)
NSE = [0.72570384], KGE = [0.68489601] and KGE_PRIME = [0.73862369]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.73)
NSE = [0.72623478], KGE = [0.68310609] and KGE_PRIME = [0.73632641]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.73)
NSE = [0.72684319], KGE = [0.68170562] and KGE_PRIME = [0.73459048]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72754368], KGE = [0.67840753] and KGE_PRIME = [0.73424805]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72601206], KGE = [0.67569064] and KGE_PRIME = [0.73011725]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72605754], KGE = [0.67318634] and KGE_PRIME = [0.7281146]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72601373], KGE = [0.67116421] and KGE_PRIME = [0.7267835]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72596131], KGE = [0.66905142] and KGE_PRIME = [0.7251125]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72642717], KGE = [0.66820163] and KGE_PRIME = [0.72419518]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72620566], KGE = [0.66571233] and KGE_PRIME = [0.72273286]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72570792], KGE = [0.66356909] and KGE_PRIME = [0.72170656]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72489693], KGE = [0.66132781] and KGE_PRIME = [0.72023602]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72494998], KGE = [0.66078846] and KGE_PRIME = [0.7196827]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.7253705], KGE = [0.66048443] and KGE_PRIME = [0.71827347]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72472897], KGE = [0.65881917] and KGE_PRIME = [0.71725514]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72473736], KGE = [0.65767717] and KGE_PRIME = [0.7165772]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72462005], KGE = [0.65665287] and KGE_PRIME = [0.71601024]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72453907], KGE = [0.6559047] and KGE_PRIME = [0.71524471]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72467343], KGE = [0.65412082] and KGE_PRIME = [0.71364602]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72441898], KGE = [0.65283771] and KGE_PRIME = [0.71225529]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72401058], KGE = [0.65115474] and KGE_PRIME = [0.71195558]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72294658], KGE = [0.64926928] and KGE_PRIME = [0.71134114]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72226974], KGE = [0.64779312] and KGE_PRIME = [0.71020602]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72239665], KGE = [0.64713045] and KGE_PRIME = [0.70887533]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72237024], KGE = [0.64583316] and KGE_PRIME = [0.70737909]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.721765], KGE = [0.64453206] and KGE_PRIME = [0.70672417]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72192613], KGE = [0.64394591] and KGE_PRIME = [0.7060689]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72146234], KGE = [0.64281986] and KGE_PRIME = [0.70504247]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72142644], KGE = [0.64205687] and KGE_PRIME = [0.70490268]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72057048], KGE = [0.64005111] and KGE_PRIME = [0.70362295]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72021156], KGE = [0.63911244] and KGE_PRIME = [0.7031334]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71996131], KGE = [0.6374042] and KGE_PRIME = [0.70231166]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71944443], KGE = [0.63629037] and KGE_PRIME = [0.70097791]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 330 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '330', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_330_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71865582], KGE = [0.63433993] and KGE_PRIME = [0.69994643]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.42)
NSE = [0.42296826], KGE = [0.69486061] and KGE_PRIME = [0.69591075]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.5882726], KGE = [0.7228686] and KGE_PRIME = [0.75181298]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63660551], KGE = [0.72045509] and KGE_PRIME = [0.76006016]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66386196], KGE = [0.71662722] and KGE_PRIME = [0.75997851]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68141484], KGE = [0.71952333] and KGE_PRIME = [0.76115207]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69453838], KGE = [0.71861034] and KGE_PRIME = [0.75824321]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70031105], KGE = [0.71299071] and KGE_PRIME = [0.75189744]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70754908], KGE = [0.70883223] and KGE_PRIME = [0.75339171]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71141808], KGE = [0.70232177] and KGE_PRIME = [0.75081411]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71378827], KGE = [0.70059395] and KGE_PRIME = [0.74954517]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71631676], KGE = [0.69521195] and KGE_PRIME = [0.7475973]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71557643], KGE = [0.69097469] and KGE_PRIME = [0.74725909]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7199531], KGE = [0.68953799] and KGE_PRIME = [0.74504773]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72078036], KGE = [0.68725582] and KGE_PRIME = [0.74254366]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72182462], KGE = [0.68491823] and KGE_PRIME = [0.74062615]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72255947], KGE = [0.68251868] and KGE_PRIME = [0.73803948]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7234146], KGE = [0.68050137] and KGE_PRIME = [0.73570379]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72470826], KGE = [0.67827012] and KGE_PRIME = [0.73612385]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.73)
NSE = [0.72565478], KGE = [0.676504] and KGE_PRIME = [0.73402657]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72555763], KGE = [0.67439727] and KGE_PRIME = [0.73203911]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72398715], KGE = [0.67163688] and KGE_PRIME = [0.72910194]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72415329], KGE = [0.67117253] and KGE_PRIME = [0.72724005]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72351363], KGE = [0.66911647] and KGE_PRIME = [0.72617737]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72397108], KGE = [0.66667506] and KGE_PRIME = [0.72483785]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72403681], KGE = [0.66453726] and KGE_PRIME = [0.72356628]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72447593], KGE = [0.6625169] and KGE_PRIME = [0.72257652]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72452814], KGE = [0.66089481] and KGE_PRIME = [0.72164371]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72388991], KGE = [0.65914454] and KGE_PRIME = [0.72038089]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72346085], KGE = [0.65849014] and KGE_PRIME = [0.71897815]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7225873], KGE = [0.65674812] and KGE_PRIME = [0.71745631]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72282285], KGE = [0.65653928] and KGE_PRIME = [0.7163833]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72230259], KGE = [0.65492446] and KGE_PRIME = [0.71455296]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72165734], KGE = [0.65364407] and KGE_PRIME = [0.71326349]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72179933], KGE = [0.65371969] and KGE_PRIME = [0.71188361]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72087935], KGE = [0.65228039] and KGE_PRIME = [0.7103771]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72080534], KGE = [0.65066453] and KGE_PRIME = [0.70991717]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72035653], KGE = [0.64927808] and KGE_PRIME = [0.70949175]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71994506], KGE = [0.64779776] and KGE_PRIME = [0.70853938]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71961548], KGE = [0.64686277] and KGE_PRIME = [0.7089332]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71894484], KGE = [0.64502864] and KGE_PRIME = [0.70657837]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71888541], KGE = [0.64383111] and KGE_PRIME = [0.70562086]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71850148], KGE = [0.64189547] and KGE_PRIME = [0.70474233]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71871719], KGE = [0.64165312] and KGE_PRIME = [0.70418115]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71823511], KGE = [0.64046986] and KGE_PRIME = [0.7032376]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71792135], KGE = [0.63928197] and KGE_PRIME = [0.70205714]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71763519], KGE = [0.63776979] and KGE_PRIME = [0.70139803]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71707137], KGE = [0.63603361] and KGE_PRIME = [0.70025765]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71683507], KGE = [0.63444228] and KGE_PRIME = [0.69963201]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 335 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '335', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_335_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71589101], KGE = [0.63291817] and KGE_PRIME = [0.69881423]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.81, Relative - RMSE: 0.41
and Correlations (Pearson, Rscore): (0.61, 0.27)
NSE = [0.2672909], KGE = [0.5850586] and KGE_PRIME = [0.59266107]
R score: 0.27 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.67, 0.42)
NSE = [0.42413918], KGE = [0.61037638] and KGE_PRIME = [0.63248518]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.68, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.70, 0.49)
NSE = [0.49071543], KGE = [0.60572912] and KGE_PRIME = [0.63675763]
R score: 0.49 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.66, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.72, 0.52)
NSE = [0.51552425], KGE = [0.60061888] and KGE_PRIME = [0.63835468]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.54)
NSE = [0.53575369], KGE = [0.59930288] and KGE_PRIME = [0.63446197]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.54949099], KGE = [0.59633984] and KGE_PRIME = [0.63125105]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55603105], KGE = [0.59276873] and KGE_PRIME = [0.62616424]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.5640981], KGE = [0.59061315] and KGE_PRIME = [0.62440506]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56620295], KGE = [0.58677392] and KGE_PRIME = [0.62226097]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56946722], KGE = [0.58669963] and KGE_PRIME = [0.61670271]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57395004], KGE = [0.58245509] and KGE_PRIME = [0.61760761]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57594396], KGE = [0.57889367] and KGE_PRIME = [0.61727196]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57797493], KGE = [0.57617029] and KGE_PRIME = [0.6184]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57677899], KGE = [0.57161292] and KGE_PRIME = [0.61513356]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57824743], KGE = [0.56890448] and KGE_PRIME = [0.61334527]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58003167], KGE = [0.56737769] and KGE_PRIME = [0.61239397]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58215224], KGE = [0.56516103] and KGE_PRIME = [0.61213499]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58124159], KGE = [0.56265651] and KGE_PRIME = [0.60979543]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57964754], KGE = [0.5602973] and KGE_PRIME = [0.60540982]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58083367], KGE = [0.55888016] and KGE_PRIME = [0.603202]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58104073], KGE = [0.5578489] and KGE_PRIME = [0.60156156]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58207724], KGE = [0.55771476] and KGE_PRIME = [0.60240348]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58260746], KGE = [0.5561587] and KGE_PRIME = [0.60016153]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58145517], KGE = [0.55407756] and KGE_PRIME = [0.59994991]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58206905], KGE = [0.55265533] and KGE_PRIME = [0.59911145]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58196066], KGE = [0.55139553] and KGE_PRIME = [0.59713757]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5824221], KGE = [0.54982326] and KGE_PRIME = [0.59596893]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5813364], KGE = [0.548157] and KGE_PRIME = [0.59391947]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58134975], KGE = [0.54647371] and KGE_PRIME = [0.59223813]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58066949], KGE = [0.54538018] and KGE_PRIME = [0.59173982]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58050636], KGE = [0.54406888] and KGE_PRIME = [0.59221581]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58038588], KGE = [0.54301612] and KGE_PRIME = [0.591187]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58016916], KGE = [0.54159926] and KGE_PRIME = [0.59071939]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57968135], KGE = [0.54055186] and KGE_PRIME = [0.58919924]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57831517], KGE = [0.53898939] and KGE_PRIME = [0.5874421]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57775547], KGE = [0.53820825] and KGE_PRIME = [0.58598697]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57724752], KGE = [0.5373591] and KGE_PRIME = [0.58517118]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57717055], KGE = [0.53664545] and KGE_PRIME = [0.58471351]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57664652], KGE = [0.53515073] and KGE_PRIME = [0.58432892]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5771011], KGE = [0.53459711] and KGE_PRIME = [0.58342399]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57691975], KGE = [0.53354734] and KGE_PRIME = [0.58229784]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5766524], KGE = [0.5324763] and KGE_PRIME = [0.58082711]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5757988], KGE = [0.53115359] and KGE_PRIME = [0.58009669]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57498253], KGE = [0.52973829] and KGE_PRIME = [0.57950707]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57388595], KGE = [0.52804397] and KGE_PRIME = [0.57833675]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57374711], KGE = [0.52709562] and KGE_PRIME = [0.57834345]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57298893], KGE = [0.5261733] and KGE_PRIME = [0.57774429]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57329756], KGE = [0.52567684] and KGE_PRIME = [0.57677303]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 340 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '340', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_340_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57301059], KGE = [0.52545119] and KGE_PRIME = [0.57576482]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.81, Relative - RMSE: 0.41
and Correlations (Pearson, Rscore): (0.61, 0.27)
NSE = [0.27366119], KGE = [0.57966758] and KGE_PRIME = [0.58805663]
R score: 0.27 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.67, 0.42)
NSE = [0.42427442], KGE = [0.60635662] and KGE_PRIME = [0.63426846]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.68, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.70, 0.49)
NSE = [0.49375804], KGE = [0.61101071] and KGE_PRIME = [0.641511]
R score: 0.49 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.53032287], KGE = [0.60836324] and KGE_PRIME = [0.64557903]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.54224499], KGE = [0.60587332] and KGE_PRIME = [0.63741109]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55547666], KGE = [0.60382402] and KGE_PRIME = [0.64136335]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.5643607], KGE = [0.60022422] and KGE_PRIME = [0.6376582]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56631134], KGE = [0.59415079] and KGE_PRIME = [0.63107637]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57219627], KGE = [0.5891514] and KGE_PRIME = [0.63183178]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57793275], KGE = [0.58667983] and KGE_PRIME = [0.62895913]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57973576], KGE = [0.58204329] and KGE_PRIME = [0.62763667]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58117685], KGE = [0.57929458] and KGE_PRIME = [0.62484852]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58508152], KGE = [0.57822838] and KGE_PRIME = [0.62557573]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58567442], KGE = [0.57578944] and KGE_PRIME = [0.62177256]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58505093], KGE = [0.57177176] and KGE_PRIME = [0.61862589]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58715939], KGE = [0.57105364] and KGE_PRIME = [0.61645185]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58639414], KGE = [0.56869073] and KGE_PRIME = [0.61624786]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58786283], KGE = [0.56749388] and KGE_PRIME = [0.61355442]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58662302], KGE = [0.56468853] and KGE_PRIME = [0.61192276]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58842545], KGE = [0.56468778] and KGE_PRIME = [0.61119893]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58919941], KGE = [0.56395595] and KGE_PRIME = [0.61011093]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58890199], KGE = [0.56161174] and KGE_PRIME = [0.60823322]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58910832], KGE = [0.55982169] and KGE_PRIME = [0.60677844]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58862484], KGE = [0.55800367] and KGE_PRIME = [0.60541827]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58820316], KGE = [0.55624449] and KGE_PRIME = [0.6048041]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58849983], KGE = [0.55441843] and KGE_PRIME = [0.60513774]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.5890118], KGE = [0.55301512] and KGE_PRIME = [0.60410388]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58921253], KGE = [0.55262455] and KGE_PRIME = [0.60277591]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58826489], KGE = [0.55083478] and KGE_PRIME = [0.6007267]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58775443], KGE = [0.54929634] and KGE_PRIME = [0.60013242]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58663331], KGE = [0.54756227] and KGE_PRIME = [0.59865536]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58504615], KGE = [0.54596865] and KGE_PRIME = [0.59623938]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.5844274], KGE = [0.54392273] and KGE_PRIME = [0.59460458]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58372237], KGE = [0.54308824] and KGE_PRIME = [0.59303938]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58362292], KGE = [0.54172904] and KGE_PRIME = [0.59269556]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.5833899], KGE = [0.5407573] and KGE_PRIME = [0.5918454]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58285435], KGE = [0.53898274] and KGE_PRIME = [0.59081051]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58196904], KGE = [0.53810011] and KGE_PRIME = [0.58928378]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.5813545], KGE = [0.53708032] and KGE_PRIME = [0.58738888]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58097077], KGE = [0.53609783] and KGE_PRIME = [0.58611678]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58047411], KGE = [0.5350344] and KGE_PRIME = [0.58535601]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58032888], KGE = [0.53399766] and KGE_PRIME = [0.58527136]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58057562], KGE = [0.53320885] and KGE_PRIME = [0.5842665]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58066107], KGE = [0.5328128] and KGE_PRIME = [0.58398659]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58046893], KGE = [0.53162518] and KGE_PRIME = [0.58317637]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57960012], KGE = [0.5300337] and KGE_PRIME = [0.58223003]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57874093], KGE = [0.52903559] and KGE_PRIME = [0.58124715]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57854665], KGE = [0.52818953] and KGE_PRIME = [0.58093285]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 345 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '345', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_345_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57861362], KGE = [0.52794197] and KGE_PRIME = [0.5806505]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.81, Relative - RMSE: 0.41
and Correlations (Pearson, Rscore): (0.60, 0.27)
NSE = [0.26970928], KGE = [0.58154477] and KGE_PRIME = [0.59145884]
R score: 0.27 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.68, 0.44)
NSE = [0.43837051], KGE = [0.61309836] and KGE_PRIME = [0.64222991]
R score: 0.44 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.68, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.70, 0.49)
NSE = [0.49143403], KGE = [0.60852887] and KGE_PRIME = [0.63791212]
R score: 0.49 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.52815256], KGE = [0.60956711] and KGE_PRIME = [0.64090834]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.54286712], KGE = [0.60415196] and KGE_PRIME = [0.63713732]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55763049], KGE = [0.60323224] and KGE_PRIME = [0.63459279]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56729056], KGE = [0.60109923] and KGE_PRIME = [0.63419449]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57245375], KGE = [0.59663802] and KGE_PRIME = [0.63275114]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57674302], KGE = [0.59070449] and KGE_PRIME = [0.63159163]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58023893], KGE = [0.58765369] and KGE_PRIME = [0.62942464]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58334611], KGE = [0.58451534] and KGE_PRIME = [0.62749101]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58217452], KGE = [0.57940527] and KGE_PRIME = [0.62415397]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.5830739], KGE = [0.57702212] and KGE_PRIME = [0.62216185]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.584648], KGE = [0.5748922] and KGE_PRIME = [0.61852313]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58601985], KGE = [0.57381457] and KGE_PRIME = [0.61585248]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58679317], KGE = [0.57177831] and KGE_PRIME = [0.61483406]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58697419], KGE = [0.57029001] and KGE_PRIME = [0.61486527]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58498188], KGE = [0.5665102] and KGE_PRIME = [0.61281546]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58524488], KGE = [0.56401217] and KGE_PRIME = [0.61172329]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58640409], KGE = [0.56315074] and KGE_PRIME = [0.61111008]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58637888], KGE = [0.56047776] and KGE_PRIME = [0.61060655]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58664594], KGE = [0.55820082] and KGE_PRIME = [0.60860959]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58624168], KGE = [0.55634081] and KGE_PRIME = [0.60756714]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.5862645], KGE = [0.55537621] and KGE_PRIME = [0.60668541]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58668235], KGE = [0.55435932] and KGE_PRIME = [0.60496612]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58668227], KGE = [0.55299106] and KGE_PRIME = [0.60333135]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58590434], KGE = [0.55126463] and KGE_PRIME = [0.60247851]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58599441], KGE = [0.54977275] and KGE_PRIME = [0.60204261]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58527753], KGE = [0.54843836] and KGE_PRIME = [0.60065955]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58366886], KGE = [0.54700604] and KGE_PRIME = [0.59786926]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58457671], KGE = [0.54637478] and KGE_PRIME = [0.59729283]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58466532], KGE = [0.54560282] and KGE_PRIME = [0.59664842]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58378891], KGE = [0.54338646] and KGE_PRIME = [0.59450476]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58277687], KGE = [0.54193196] and KGE_PRIME = [0.59308349]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58264559], KGE = [0.54112394] and KGE_PRIME = [0.59220433]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58269574], KGE = [0.54039483] and KGE_PRIME = [0.59201038]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58163129], KGE = [0.53880409] and KGE_PRIME = [0.59064367]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5810492], KGE = [0.53735578] and KGE_PRIME = [0.58948814]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58075249], KGE = [0.5363318] and KGE_PRIME = [0.58888749]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58039825], KGE = [0.53570553] and KGE_PRIME = [0.58769334]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58014685], KGE = [0.53489478] and KGE_PRIME = [0.5871928]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57962851], KGE = [0.53364619] and KGE_PRIME = [0.58614111]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57966322], KGE = [0.53294084] and KGE_PRIME = [0.58560481]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57873197], KGE = [0.5322387] and KGE_PRIME = [0.58384282]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57876414], KGE = [0.53185567] and KGE_PRIME = [0.58303428]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57867266], KGE = [0.53104473] and KGE_PRIME = [0.58257596]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57860932], KGE = [0.52959794] and KGE_PRIME = [0.58229105]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57848353], KGE = [0.52873809] and KGE_PRIME = [0.58135042]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 350 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '350', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_350_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57805545], KGE = [0.52814535] and KGE_PRIME = [0.58054839]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.71, 0.44)
NSE = [0.44047747], KGE = [0.70812203] and KGE_PRIME = [0.70976544]
R score: 0.44 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59212856], KGE = [0.72157453] and KGE_PRIME = [0.75211023]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64153627], KGE = [0.72641754] and KGE_PRIME = [0.7622231]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67174838], KGE = [0.72655946] and KGE_PRIME = [0.76294947]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68642286], KGE = [0.72036024] and KGE_PRIME = [0.76396785]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.6972363], KGE = [0.71608] and KGE_PRIME = [0.76026722]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70338339], KGE = [0.71095238] and KGE_PRIME = [0.75825403]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.71)
NSE = [0.70565974], KGE = [0.70706932] and KGE_PRIME = [0.75545558]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71262069], KGE = [0.70487726] and KGE_PRIME = [0.7547196]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71551826], KGE = [0.69883472] and KGE_PRIME = [0.75376737]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71821256], KGE = [0.69697106] and KGE_PRIME = [0.75252996]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72094233], KGE = [0.69364439] and KGE_PRIME = [0.74943232]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72465635], KGE = [0.69219125] and KGE_PRIME = [0.74804854]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72409005], KGE = [0.68779355] and KGE_PRIME = [0.74543082]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72365034], KGE = [0.68589832] and KGE_PRIME = [0.74275293]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7236226], KGE = [0.68100443] and KGE_PRIME = [0.73993975]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72435799], KGE = [0.67858072] and KGE_PRIME = [0.73849386]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72357143], KGE = [0.67621251] and KGE_PRIME = [0.7354649]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72362588], KGE = [0.67378892] and KGE_PRIME = [0.73302352]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72428991], KGE = [0.67278855] and KGE_PRIME = [0.73110336]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72414822], KGE = [0.67164637] and KGE_PRIME = [0.72918045]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72495197], KGE = [0.67030023] and KGE_PRIME = [0.7286671]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72557589], KGE = [0.66834751] and KGE_PRIME = [0.72869864]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.7258079], KGE = [0.66692599] and KGE_PRIME = [0.7275964]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72512454], KGE = [0.6657986] and KGE_PRIME = [0.72556519]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72554592], KGE = [0.66444849] and KGE_PRIME = [0.72364718]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72515502], KGE = [0.66247058] and KGE_PRIME = [0.72261658]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72503587], KGE = [0.66112009] and KGE_PRIME = [0.7216639]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72547558], KGE = [0.65968424] and KGE_PRIME = [0.7197838]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72478567], KGE = [0.6584775] and KGE_PRIME = [0.71855157]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72472704], KGE = [0.65741529] and KGE_PRIME = [0.7180247]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72389461], KGE = [0.65566151] and KGE_PRIME = [0.71724749]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72362448], KGE = [0.65386153] and KGE_PRIME = [0.71631461]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72329503], KGE = [0.65242033] and KGE_PRIME = [0.71602785]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72262606], KGE = [0.65051377] and KGE_PRIME = [0.71455968]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72140076], KGE = [0.64910288] and KGE_PRIME = [0.71272394]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72044238], KGE = [0.64767923] and KGE_PRIME = [0.71142046]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72046776], KGE = [0.64709619] and KGE_PRIME = [0.71015774]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72005187], KGE = [0.64586959] and KGE_PRIME = [0.70922945]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72000071], KGE = [0.64470841] and KGE_PRIME = [0.70929037]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71923615], KGE = [0.6433552] and KGE_PRIME = [0.70790655]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71916242], KGE = [0.64168632] and KGE_PRIME = [0.70696906]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7185736], KGE = [0.64011682] and KGE_PRIME = [0.70621775]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7180704], KGE = [0.63857114] and KGE_PRIME = [0.70545347]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71760694], KGE = [0.63783889] and KGE_PRIME = [0.70435576]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71772061], KGE = [0.63695623] and KGE_PRIME = [0.70367547]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71736582], KGE = [0.63585894] and KGE_PRIME = [0.70297116]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71694881], KGE = [0.63468881] and KGE_PRIME = [0.7018158]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 355 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '355', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_355_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71655484], KGE = [0.63348699] and KGE_PRIME = [0.7007281]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.69, 0.42)
NSE = [0.4158848], KGE = [0.67439168] and KGE_PRIME = [0.68137067]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57313554], KGE = [0.69773076] and KGE_PRIME = [0.71825494]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61355668], KGE = [0.68954277] and KGE_PRIME = [0.71822602]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63904855], KGE = [0.68400268] and KGE_PRIME = [0.71493301]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.6520152], KGE = [0.67679642] and KGE_PRIME = [0.70847753]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65968681], KGE = [0.6695309] and KGE_PRIME = [0.70209975]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67036868], KGE = [0.66761588] and KGE_PRIME = [0.69332342]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67484838], KGE = [0.66267509] and KGE_PRIME = [0.69087031]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67680141], KGE = [0.65829514] and KGE_PRIME = [0.6893582]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68085267], KGE = [0.65571084] and KGE_PRIME = [0.68874517]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68353606], KGE = [0.65332219] and KGE_PRIME = [0.68997835]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68427903], KGE = [0.64950531] and KGE_PRIME = [0.6865407]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68408768], KGE = [0.645632] and KGE_PRIME = [0.68254977]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68509616], KGE = [0.64306259] and KGE_PRIME = [0.68033116]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68678006], KGE = [0.64070626] and KGE_PRIME = [0.67737254]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68811877], KGE = [0.63856957] and KGE_PRIME = [0.67619365]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68993634], KGE = [0.63648683] and KGE_PRIME = [0.67380267]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68958409], KGE = [0.63303733] and KGE_PRIME = [0.67124509]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68933291], KGE = [0.6307722] and KGE_PRIME = [0.67039855]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6889419], KGE = [0.62863531] and KGE_PRIME = [0.66649323]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68918604], KGE = [0.62575983] and KGE_PRIME = [0.66552599]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68794401], KGE = [0.62305206] and KGE_PRIME = [0.66347081]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68836454], KGE = [0.62061057] and KGE_PRIME = [0.66351558]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68805304], KGE = [0.61871667] and KGE_PRIME = [0.66251017]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68702195], KGE = [0.61667307] and KGE_PRIME = [0.66116577]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68773335], KGE = [0.61681728] and KGE_PRIME = [0.65875176]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68799106], KGE = [0.61519419] and KGE_PRIME = [0.65690364]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68780859], KGE = [0.6137899] and KGE_PRIME = [0.65550494]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68666336], KGE = [0.61255218] and KGE_PRIME = [0.65334859]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68723367], KGE = [0.61171787] and KGE_PRIME = [0.65253923]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68741569], KGE = [0.61061449] and KGE_PRIME = [0.65029677]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68658344], KGE = [0.6089936] and KGE_PRIME = [0.64889832]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.6863895], KGE = [0.60804912] and KGE_PRIME = [0.64656852]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68690922], KGE = [0.60685752] and KGE_PRIME = [0.64529421]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.6861151], KGE = [0.60598847] and KGE_PRIME = [0.64281558]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68516498], KGE = [0.6041879] and KGE_PRIME = [0.64066561]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68432395], KGE = [0.60228021] and KGE_PRIME = [0.63980368]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68365922], KGE = [0.60095495] and KGE_PRIME = [0.63806932]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.683326], KGE = [0.60035446] and KGE_PRIME = [0.63729575]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68269077], KGE = [0.59911852] and KGE_PRIME = [0.6362924]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68258296], KGE = [0.59886641] and KGE_PRIME = [0.6353745]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68267837], KGE = [0.59800493] and KGE_PRIME = [0.63545275]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68259363], KGE = [0.59724701] and KGE_PRIME = [0.63443568]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68224323], KGE = [0.59605124] and KGE_PRIME = [0.63443127]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68199884], KGE = [0.59495103] and KGE_PRIME = [0.63377461]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68093628], KGE = [0.59342839] and KGE_PRIME = [0.63278359]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68070827], KGE = [0.59250165] and KGE_PRIME = [0.63172991]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68100143], KGE = [0.59188733] and KGE_PRIME = [0.63087084]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 360 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '360', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_360_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68070263], KGE = [0.59061667] and KGE_PRIME = [0.63037044]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.69, 0.43)
NSE = [0.42726441], KGE = [0.67261704] and KGE_PRIME = [0.68292924]
R score: 0.43 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.58086024], KGE = [0.70049082] and KGE_PRIME = [0.72119144]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.63075225], KGE = [0.69321111] and KGE_PRIME = [0.72403782]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65109928], KGE = [0.68080103] and KGE_PRIME = [0.7181718]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66306043], KGE = [0.67635553] and KGE_PRIME = [0.70959862]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.6687089], KGE = [0.66941896] and KGE_PRIME = [0.70197688]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6757401], KGE = [0.66620264] and KGE_PRIME = [0.70115034]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67936782], KGE = [0.6629587] and KGE_PRIME = [0.69306405]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.680672], KGE = [0.65909247] and KGE_PRIME = [0.69025613]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68484291], KGE = [0.65615654] and KGE_PRIME = [0.68762494]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68597832], KGE = [0.65354579] and KGE_PRIME = [0.68624852]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68860899], KGE = [0.65205399] and KGE_PRIME = [0.68500487]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69180834], KGE = [0.64987722] and KGE_PRIME = [0.68528907]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6927947], KGE = [0.64758606] and KGE_PRIME = [0.68218519]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69304781], KGE = [0.64384335] and KGE_PRIME = [0.68112286]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69338542], KGE = [0.64141593] and KGE_PRIME = [0.68000196]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69333386], KGE = [0.63800886] and KGE_PRIME = [0.67671522]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69457333], KGE = [0.63598091] and KGE_PRIME = [0.67452018]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69402705], KGE = [0.63397248] and KGE_PRIME = [0.67203748]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69491568], KGE = [0.63249507] and KGE_PRIME = [0.67287591]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69580357], KGE = [0.63063924] and KGE_PRIME = [0.67120541]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6957906], KGE = [0.62868488] and KGE_PRIME = [0.66958154]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69618063], KGE = [0.62674577] and KGE_PRIME = [0.66896626]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6955517], KGE = [0.62473944] and KGE_PRIME = [0.66640643]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69525179], KGE = [0.62281847] and KGE_PRIME = [0.66493475]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69495052], KGE = [0.62129579] and KGE_PRIME = [0.66302801]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69477388], KGE = [0.61986613] and KGE_PRIME = [0.661043]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69378723], KGE = [0.61749772] and KGE_PRIME = [0.65874573]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69320055], KGE = [0.61599586] and KGE_PRIME = [0.65769099]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69318284], KGE = [0.61545364] and KGE_PRIME = [0.65558557]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69331397], KGE = [0.61470709] and KGE_PRIME = [0.65463859]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69272007], KGE = [0.61329652] and KGE_PRIME = [0.65383946]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69189269], KGE = [0.61155935] and KGE_PRIME = [0.65211297]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69197365], KGE = [0.61089145] and KGE_PRIME = [0.65068208]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69220334], KGE = [0.60989556] and KGE_PRIME = [0.65022387]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69121187], KGE = [0.60775634] and KGE_PRIME = [0.64888243]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69073984], KGE = [0.60711214] and KGE_PRIME = [0.64783758]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69045021], KGE = [0.60614156] and KGE_PRIME = [0.64700409]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68988551], KGE = [0.60467587] and KGE_PRIME = [0.64592687]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68909934], KGE = [0.60338652] and KGE_PRIME = [0.64513915]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68877167], KGE = [0.602005] and KGE_PRIME = [0.6441246]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68839264], KGE = [0.600875] and KGE_PRIME = [0.64289352]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68779172], KGE = [0.60014357] and KGE_PRIME = [0.64142871]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68718124], KGE = [0.59922111] and KGE_PRIME = [0.64125963]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68655779], KGE = [0.59809278] and KGE_PRIME = [0.64037236]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68640155], KGE = [0.59716283] and KGE_PRIME = [0.63924106]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68668202], KGE = [0.59648923] and KGE_PRIME = [0.63844331]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68685575], KGE = [0.59565948] and KGE_PRIME = [0.6370181]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 365 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '365', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_365_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68662906], KGE = [0.59463265] and KGE_PRIME = [0.63593485]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.69, 0.41)
NSE = [0.41039885], KGE = [0.6723928] and KGE_PRIME = [0.67781289]
R score: 0.41 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56729282], KGE = [0.69687588] and KGE_PRIME = [0.71666991]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60812629], KGE = [0.68937418] and KGE_PRIME = [0.71698393]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.6345353], KGE = [0.68286565] and KGE_PRIME = [0.71427244]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64902737], KGE = [0.67611837] and KGE_PRIME = [0.70799717]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.65639734], KGE = [0.66872382] and KGE_PRIME = [0.70259916]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66753898], KGE = [0.66670003] and KGE_PRIME = [0.6927888]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67164803], KGE = [0.66203012] and KGE_PRIME = [0.68923494]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6736364], KGE = [0.6579625] and KGE_PRIME = [0.68963315]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67730165], KGE = [0.65394326] and KGE_PRIME = [0.68770199]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68018265], KGE = [0.65200202] and KGE_PRIME = [0.68780518]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68082194], KGE = [0.64869631] and KGE_PRIME = [0.68540343]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68171805], KGE = [0.6454815] and KGE_PRIME = [0.6820331]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68254766], KGE = [0.64224271] and KGE_PRIME = [0.67913879]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68427911], KGE = [0.64015246] and KGE_PRIME = [0.67629098]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68533777], KGE = [0.63748919] and KGE_PRIME = [0.67587789]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68672411], KGE = [0.6359681] and KGE_PRIME = [0.6723589]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68701622], KGE = [0.63258181] and KGE_PRIME = [0.67081888]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68625544], KGE = [0.62944237] and KGE_PRIME = [0.66901432]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68548485], KGE = [0.62679919] and KGE_PRIME = [0.66647003]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.686283], KGE = [0.62534726] and KGE_PRIME = [0.66476018]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68517165], KGE = [0.62209226] and KGE_PRIME = [0.66338856]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68531722], KGE = [0.61968346] and KGE_PRIME = [0.66270581]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68522086], KGE = [0.61797684] and KGE_PRIME = [0.66159285]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68413129], KGE = [0.61626541] and KGE_PRIME = [0.66011429]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68491736], KGE = [0.61619601] and KGE_PRIME = [0.6580829]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68572928], KGE = [0.61467714] and KGE_PRIME = [0.65695882]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68506338], KGE = [0.61320964] and KGE_PRIME = [0.65421499]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68445699], KGE = [0.61215334] and KGE_PRIME = [0.65258467]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68481556], KGE = [0.61122972] and KGE_PRIME = [0.65174383]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68447234], KGE = [0.60960863] and KGE_PRIME = [0.64883439]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68392087], KGE = [0.60834426] and KGE_PRIME = [0.64777971]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6838967], KGE = [0.60730551] and KGE_PRIME = [0.64626391]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68371151], KGE = [0.60602133] and KGE_PRIME = [0.64443903]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68309315], KGE = [0.60483176] and KGE_PRIME = [0.64206611]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68219809], KGE = [0.60351114] and KGE_PRIME = [0.64051696]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68155246], KGE = [0.60151622] and KGE_PRIME = [0.63869874]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68098645], KGE = [0.60038039] and KGE_PRIME = [0.63706164]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68058341], KGE = [0.59908102] and KGE_PRIME = [0.63592642]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68030921], KGE = [0.59885801] and KGE_PRIME = [0.63552048]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68013203], KGE = [0.59835327] and KGE_PRIME = [0.63479147]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67992138], KGE = [0.59710317] and KGE_PRIME = [0.63422189]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68021701], KGE = [0.59638913] and KGE_PRIME = [0.63391315]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67951154], KGE = [0.59514517] and KGE_PRIME = [0.63369446]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67959458], KGE = [0.59422373] and KGE_PRIME = [0.63306998]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67888925], KGE = [0.59300595] and KGE_PRIME = [0.63195277]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67869042], KGE = [0.59201684] and KGE_PRIME = [0.63104222]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67867114], KGE = [0.59121476] and KGE_PRIME = [0.62972247]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 370 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '370', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_370_winds_gradients_1D_tl3.nc
PCs loaded from file
16 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67875843], KGE = [0.5903496] and KGE_PRIME = [0.62932941]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.81, Relative - RMSE: 0.41
and Correlations (Pearson, Rscore): (0.61, 0.27)
NSE = [0.27487656], KGE = [0.59059572] and KGE_PRIME = [0.59752177]
R score: 0.27 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.70, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.69, 0.46)
NSE = [0.45719392], KGE = [0.62701169] and KGE_PRIME = [0.65135257]
R score: 0.46 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.67, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.71, 0.50)
NSE = [0.50422331], KGE = [0.62405459] and KGE_PRIME = [0.65505687]
R score: 0.5 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.53248922], KGE = [0.6223709] and KGE_PRIME = [0.65115726]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.55226347], KGE = [0.61742308] and KGE_PRIME = [0.64478162]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57153508], KGE = [0.6189502] and KGE_PRIME = [0.64565678]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57474089], KGE = [0.61007981] and KGE_PRIME = [0.64259548]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.582341], KGE = [0.60495702] and KGE_PRIME = [0.64304243]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58317302], KGE = [0.59891134] and KGE_PRIME = [0.63562553]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58513342], KGE = [0.59450311] and KGE_PRIME = [0.63601283]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58779653], KGE = [0.58959692] and KGE_PRIME = [0.63355682]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59143892], KGE = [0.58672227] and KGE_PRIME = [0.63275645]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.5940372], KGE = [0.58645483] and KGE_PRIME = [0.62980336]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59271613], KGE = [0.58169515] and KGE_PRIME = [0.62697473]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59271117], KGE = [0.57828419] and KGE_PRIME = [0.62456182]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59345575], KGE = [0.57596342] and KGE_PRIME = [0.62438004]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59533629], KGE = [0.57414227] and KGE_PRIME = [0.62552772]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59463909], KGE = [0.57201636] and KGE_PRIME = [0.62285495]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.594244], KGE = [0.5704413] and KGE_PRIME = [0.62247952]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59507973], KGE = [0.5695908] and KGE_PRIME = [0.62238084]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59447587], KGE = [0.56801761] and KGE_PRIME = [0.61957141]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59382554], KGE = [0.56588912] and KGE_PRIME = [0.61592647]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59448998], KGE = [0.56372934] and KGE_PRIME = [0.61563684]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59568571], KGE = [0.56347389] and KGE_PRIME = [0.61472941]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59573513], KGE = [0.56179871] and KGE_PRIME = [0.61478092]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59530821], KGE = [0.560188] and KGE_PRIME = [0.61288065]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59407005], KGE = [0.55797126] and KGE_PRIME = [0.61079997]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59351046], KGE = [0.55645235] and KGE_PRIME = [0.60868962]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59177434], KGE = [0.55400487] and KGE_PRIME = [0.60542171]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.5912712], KGE = [0.55325389] and KGE_PRIME = [0.60483949]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59085406], KGE = [0.5523428] and KGE_PRIME = [0.60363132]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59061915], KGE = [0.55122491] and KGE_PRIME = [0.60237757]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59048896], KGE = [0.54988189] and KGE_PRIME = [0.60178021]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59038518], KGE = [0.54867533] and KGE_PRIME = [0.60108169]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58990841], KGE = [0.54768778] and KGE_PRIME = [0.60072291]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59018343], KGE = [0.54607315] and KGE_PRIME = [0.60015345]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58914421], KGE = [0.54410474] and KGE_PRIME = [0.59863108]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58878631], KGE = [0.54340112] and KGE_PRIME = [0.59767643]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58865236], KGE = [0.54243338] and KGE_PRIME = [0.59642057]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58826797], KGE = [0.5408692] and KGE_PRIME = [0.59536122]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.5883986], KGE = [0.53977735] and KGE_PRIME = [0.59523281]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58861788], KGE = [0.53923902] and KGE_PRIME = [0.5946079]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58775029], KGE = [0.53800181] and KGE_PRIME = [0.59313781]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58723998], KGE = [0.53673601] and KGE_PRIME = [0.59285437]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58724972], KGE = [0.5363429] and KGE_PRIME = [0.59193827]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58648945], KGE = [0.53542012] and KGE_PRIME = [0.5908593]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58572258], KGE = [0.53427189] and KGE_PRIME = [0.58973137]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58574529], KGE = [0.53343626] and KGE_PRIME = [0.58893645]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 375 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '375', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_375_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58541494], KGE = [0.53231399] and KGE_PRIME = [0.58815287]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.71, 0.43)
NSE = [0.42984906], KGE = [0.70517862] and KGE_PRIME = [0.70399418]
R score: 0.43 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60356772], KGE = [0.73166721] and KGE_PRIME = [0.76079008]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65388393], KGE = [0.7292302] and KGE_PRIME = [0.76779307]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.82, 0.68)
NSE = [0.67914165], KGE = [0.7246191] and KGE_PRIME = [0.76377539]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.69369916], KGE = [0.72076686] and KGE_PRIME = [0.7651297]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.6954435], KGE = [0.71429484] and KGE_PRIME = [0.76109937]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70367254], KGE = [0.70807647] and KGE_PRIME = [0.75873278]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.71)
NSE = [0.70582036], KGE = [0.70516756] and KGE_PRIME = [0.75416802]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71171325], KGE = [0.70051985] and KGE_PRIME = [0.75360695]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71700461], KGE = [0.6976662] and KGE_PRIME = [0.753325]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7195695], KGE = [0.69296851] and KGE_PRIME = [0.75113789]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72178205], KGE = [0.69072369] and KGE_PRIME = [0.74894332]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72439994], KGE = [0.68892365] and KGE_PRIME = [0.74916669]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.73)
NSE = [0.72524821], KGE = [0.68563294] and KGE_PRIME = [0.74696211]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72484788], KGE = [0.68165516] and KGE_PRIME = [0.74475148]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7248048], KGE = [0.67965826] and KGE_PRIME = [0.74130467]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.73)
NSE = [0.72522794], KGE = [0.6766093] and KGE_PRIME = [0.7384759]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72621362], KGE = [0.6753093] and KGE_PRIME = [0.73731671]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72560942], KGE = [0.67171895] and KGE_PRIME = [0.73497882]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72506685], KGE = [0.67045098] and KGE_PRIME = [0.73447752]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72534241], KGE = [0.67004591] and KGE_PRIME = [0.73271592]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.7255931], KGE = [0.66889093] and KGE_PRIME = [0.73167017]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.7256442], KGE = [0.66725777] and KGE_PRIME = [0.73088874]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72585519], KGE = [0.66685323] and KGE_PRIME = [0.7300513]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72645093], KGE = [0.66499468] and KGE_PRIME = [0.72867131]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.7262989], KGE = [0.66226132] and KGE_PRIME = [0.7274897]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72616783], KGE = [0.66063252] and KGE_PRIME = [0.72541715]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.7261921], KGE = [0.65906487] and KGE_PRIME = [0.72476888]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72570564], KGE = [0.65709801] and KGE_PRIME = [0.7239131]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72559116], KGE = [0.65512484] and KGE_PRIME = [0.72301595]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72509501], KGE = [0.65431681] and KGE_PRIME = [0.72189626]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.73)
NSE = [0.72541497], KGE = [0.65349604] and KGE_PRIME = [0.72151412]
R score: 0.73 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7248795], KGE = [0.65220569] and KGE_PRIME = [0.71992046]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72472636], KGE = [0.65118166] and KGE_PRIME = [0.71858737]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72365601], KGE = [0.64955433] and KGE_PRIME = [0.71655923]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72340406], KGE = [0.64782744] and KGE_PRIME = [0.71565581]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7225853], KGE = [0.6465007] and KGE_PRIME = [0.714582]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72282148], KGE = [0.64543829] and KGE_PRIME = [0.71396049]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72276402], KGE = [0.64451532] and KGE_PRIME = [0.7128824]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72201656], KGE = [0.64296641] and KGE_PRIME = [0.71160443]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72129923], KGE = [0.64065677] and KGE_PRIME = [0.71056275]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72108443], KGE = [0.64008831] and KGE_PRIME = [0.70977368]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7210702], KGE = [0.63957032] and KGE_PRIME = [0.70892175]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7203701], KGE = [0.63835307] and KGE_PRIME = [0.70801705]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72011259], KGE = [0.63706816] and KGE_PRIME = [0.7067405]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71912885], KGE = [0.63571551] and KGE_PRIME = [0.70515547]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71864144], KGE = [0.63479299] and KGE_PRIME = [0.70452981]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71813536], KGE = [0.63387998] and KGE_PRIME = [0.70374617]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 380 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '380', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_380_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71765244], KGE = [0.632655] and KGE_PRIME = [0.70268837]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.70, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.72, 0.45)
NSE = [0.45117989], KGE = [0.70885618] and KGE_PRIME = [0.70835267]
R score: 0.45 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59664502], KGE = [0.74148922] and KGE_PRIME = [0.76188525]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64711437], KGE = [0.73668962] and KGE_PRIME = [0.76867601]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67167256], KGE = [0.7293506] and KGE_PRIME = [0.7664041]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68565037], KGE = [0.72482891] and KGE_PRIME = [0.764938]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69687538], KGE = [0.72246398] and KGE_PRIME = [0.76575039]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70231255], KGE = [0.7172725] and KGE_PRIME = [0.76067921]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70966979], KGE = [0.71231138] and KGE_PRIME = [0.76015485]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71089463], KGE = [0.70856286] and KGE_PRIME = [0.75723595]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71482261], KGE = [0.70489141] and KGE_PRIME = [0.75455439]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71656848], KGE = [0.70151218] and KGE_PRIME = [0.75035337]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71714193], KGE = [0.69605057] and KGE_PRIME = [0.74946403]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71798695], KGE = [0.69435935] and KGE_PRIME = [0.74417825]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72085202], KGE = [0.69280711] and KGE_PRIME = [0.74446552]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72350092], KGE = [0.69137519] and KGE_PRIME = [0.74278712]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72223991], KGE = [0.68820548] and KGE_PRIME = [0.74034301]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72087516], KGE = [0.68500671] and KGE_PRIME = [0.73954735]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72087104], KGE = [0.68187467] and KGE_PRIME = [0.73679176]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72118378], KGE = [0.67970482] and KGE_PRIME = [0.73651267]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72074183], KGE = [0.67730488] and KGE_PRIME = [0.73475672]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72205071], KGE = [0.67628067] and KGE_PRIME = [0.73443068]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7231836], KGE = [0.6752969] and KGE_PRIME = [0.73388371]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72278446], KGE = [0.6725739] and KGE_PRIME = [0.73339918]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72328334], KGE = [0.67113464] and KGE_PRIME = [0.73175126]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72256112], KGE = [0.66875627] and KGE_PRIME = [0.73027424]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72219716], KGE = [0.66735357] and KGE_PRIME = [0.72939138]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7219324], KGE = [0.66584189] and KGE_PRIME = [0.72838583]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7212685], KGE = [0.66458568] and KGE_PRIME = [0.72655288]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72111197], KGE = [0.66282973] and KGE_PRIME = [0.72577286]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71959029], KGE = [0.66104009] and KGE_PRIME = [0.72358057]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71904365], KGE = [0.65853957] and KGE_PRIME = [0.72325363]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71900318], KGE = [0.65690142] and KGE_PRIME = [0.72278121]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71832845], KGE = [0.65578758] and KGE_PRIME = [0.72064445]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71848957], KGE = [0.65491658] and KGE_PRIME = [0.71985553]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71850085], KGE = [0.65342289] and KGE_PRIME = [0.71866377]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71784844], KGE = [0.65179848] and KGE_PRIME = [0.71754702]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71783389], KGE = [0.65063608] and KGE_PRIME = [0.71650424]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71755555], KGE = [0.64902352] and KGE_PRIME = [0.71537603]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71758789], KGE = [0.64825996] and KGE_PRIME = [0.71493946]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71672297], KGE = [0.64701115] and KGE_PRIME = [0.71407694]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71661289], KGE = [0.64541766] and KGE_PRIME = [0.7139922]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71654677], KGE = [0.64475395] and KGE_PRIME = [0.71266601]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.715906], KGE = [0.64290175] and KGE_PRIME = [0.71175972]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71481428], KGE = [0.640965] and KGE_PRIME = [0.70977329]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.7145059], KGE = [0.63925237] and KGE_PRIME = [0.70856954]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71467848], KGE = [0.63886949] and KGE_PRIME = [0.70716057]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71442989], KGE = [0.63793177] and KGE_PRIME = [0.70622317]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.7149987], KGE = [0.63752964] and KGE_PRIME = [0.70574769]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 385 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '385', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_385_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71423985], KGE = [0.6363246] and KGE_PRIME = [0.70480459]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.40)
NSE = [0.39564714], KGE = [0.66971643] and KGE_PRIME = [0.6752821]
R score: 0.4 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.56162394], KGE = [0.69083987] and KGE_PRIME = [0.71764113]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60809525], KGE = [0.68688885] and KGE_PRIME = [0.71834029]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63152263], KGE = [0.68152483] and KGE_PRIME = [0.70677166]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65072506], KGE = [0.67513835] and KGE_PRIME = [0.70392548]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.6594109], KGE = [0.67101011] and KGE_PRIME = [0.69746057]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66389995], KGE = [0.66660935] and KGE_PRIME = [0.69363708]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67045421], KGE = [0.66383044] and KGE_PRIME = [0.69433755]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67204269], KGE = [0.65752892] and KGE_PRIME = [0.69211824]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67601524], KGE = [0.65407037] and KGE_PRIME = [0.69203724]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67847034], KGE = [0.65305635] and KGE_PRIME = [0.69111237]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67912913], KGE = [0.65063131] and KGE_PRIME = [0.68493379]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68308143], KGE = [0.64775707] and KGE_PRIME = [0.68662126]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68365467], KGE = [0.64475703] and KGE_PRIME = [0.68487514]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68321315], KGE = [0.63942945] and KGE_PRIME = [0.68135309]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68508665], KGE = [0.63844381] and KGE_PRIME = [0.68150103]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68588402], KGE = [0.63654282] and KGE_PRIME = [0.6784546]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68654937], KGE = [0.63384852] and KGE_PRIME = [0.67751147]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68603514], KGE = [0.63155067] and KGE_PRIME = [0.67433067]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6855097], KGE = [0.62873914] and KGE_PRIME = [0.67280127]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68535653], KGE = [0.6266298] and KGE_PRIME = [0.67024263]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68483082], KGE = [0.62472661] and KGE_PRIME = [0.66815354]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68423191], KGE = [0.6222329] and KGE_PRIME = [0.66603363]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68417229], KGE = [0.61963967] and KGE_PRIME = [0.66454966]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6843481], KGE = [0.61780973] and KGE_PRIME = [0.66202069]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68325319], KGE = [0.61602263] and KGE_PRIME = [0.65850238]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68328605], KGE = [0.61503158] and KGE_PRIME = [0.6563918]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68383633], KGE = [0.61382597] and KGE_PRIME = [0.65597928]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68436718], KGE = [0.6132923] and KGE_PRIME = [0.65499223]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68506338], KGE = [0.61285063] and KGE_PRIME = [0.65358409]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68524565], KGE = [0.61151073] and KGE_PRIME = [0.65322369]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68476519], KGE = [0.60990913] and KGE_PRIME = [0.65199454]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68470953], KGE = [0.60892097] and KGE_PRIME = [0.65116599]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68436906], KGE = [0.60808397] and KGE_PRIME = [0.64994952]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68351155], KGE = [0.60609787] and KGE_PRIME = [0.64844289]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68211995], KGE = [0.60475352] and KGE_PRIME = [0.64655126]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6822922], KGE = [0.60382041] and KGE_PRIME = [0.64527772]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68153731], KGE = [0.6027152] and KGE_PRIME = [0.64352059]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68204268], KGE = [0.60206165] and KGE_PRIME = [0.64205337]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68158028], KGE = [0.60029074] and KGE_PRIME = [0.64048891]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68086388], KGE = [0.59886412] and KGE_PRIME = [0.64050636]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68027875], KGE = [0.59790644] and KGE_PRIME = [0.63936007]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67987184], KGE = [0.59645985] and KGE_PRIME = [0.63880091]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67937416], KGE = [0.59532866] and KGE_PRIME = [0.6382771]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67882918], KGE = [0.59448334] and KGE_PRIME = [0.63751228]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67916193], KGE = [0.59360107] and KGE_PRIME = [0.63652649]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67921637], KGE = [0.59297785] and KGE_PRIME = [0.63671038]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67851137], KGE = [0.59183182] and KGE_PRIME = [0.63563244]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 390 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '390', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_390_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67822509], KGE = [0.59037824] and KGE_PRIME = [0.63502]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.71, 0.43)
NSE = [0.43407785], KGE = [0.7062959] and KGE_PRIME = [0.70751997]
R score: 0.43 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60034048], KGE = [0.73678761] and KGE_PRIME = [0.76207533]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65460512], KGE = [0.73298033] and KGE_PRIME = [0.77063279]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.82, 0.68)
NSE = [0.67537931], KGE = [0.72867425] and KGE_PRIME = [0.7653445]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68725656], KGE = [0.71687734] and KGE_PRIME = [0.76548724]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6941266], KGE = [0.71450877] and KGE_PRIME = [0.76219816]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70193543], KGE = [0.71222046] and KGE_PRIME = [0.7590594]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.71)
NSE = [0.70567115], KGE = [0.70429359] and KGE_PRIME = [0.75802551]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70870562], KGE = [0.70128682] and KGE_PRIME = [0.75606269]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71189548], KGE = [0.69546241] and KGE_PRIME = [0.75327086]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71635999], KGE = [0.69202371] and KGE_PRIME = [0.75120228]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71832545], KGE = [0.69003566] and KGE_PRIME = [0.74928634]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71941784], KGE = [0.68786924] and KGE_PRIME = [0.74695737]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7207529], KGE = [0.68573843] and KGE_PRIME = [0.7458744]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72054316], KGE = [0.68228659] and KGE_PRIME = [0.74310601]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72190502], KGE = [0.6804711] and KGE_PRIME = [0.74226636]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72166622], KGE = [0.67878468] and KGE_PRIME = [0.73996165]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72340691], KGE = [0.67718871] and KGE_PRIME = [0.73899412]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72490815], KGE = [0.67594849] and KGE_PRIME = [0.73845889]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72389559], KGE = [0.67403482] and KGE_PRIME = [0.7366383]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72432521], KGE = [0.6718441] and KGE_PRIME = [0.7356574]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72457312], KGE = [0.67212334] and KGE_PRIME = [0.73381785]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72390905], KGE = [0.66902682] and KGE_PRIME = [0.73289752]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72237784], KGE = [0.6667133] and KGE_PRIME = [0.72999465]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72195511], KGE = [0.66426535] and KGE_PRIME = [0.73000369]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7217068], KGE = [0.66183381] and KGE_PRIME = [0.72817739]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72135522], KGE = [0.65961868] and KGE_PRIME = [0.72640616]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72096085], KGE = [0.65794995] and KGE_PRIME = [0.72528102]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.72024158], KGE = [0.65520059] and KGE_PRIME = [0.724328]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71933418], KGE = [0.65404685] and KGE_PRIME = [0.72276914]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71886389], KGE = [0.65288664] and KGE_PRIME = [0.72269583]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71898317], KGE = [0.65136877] and KGE_PRIME = [0.72114671]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71840355], KGE = [0.64984834] and KGE_PRIME = [0.71988371]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71819511], KGE = [0.64879798] and KGE_PRIME = [0.71868576]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71739517], KGE = [0.64715638] and KGE_PRIME = [0.7167068]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71717635], KGE = [0.6465584] and KGE_PRIME = [0.71549498]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71739898], KGE = [0.64522928] and KGE_PRIME = [0.71533121]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71732794], KGE = [0.64408316] and KGE_PRIME = [0.7141237]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71695078], KGE = [0.643071] and KGE_PRIME = [0.71267443]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71659898], KGE = [0.64139454] and KGE_PRIME = [0.71195193]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71627583], KGE = [0.64043654] and KGE_PRIME = [0.71124028]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71579178], KGE = [0.63878891] and KGE_PRIME = [0.71016489]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71549252], KGE = [0.63771767] and KGE_PRIME = [0.70927756]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7156429], KGE = [0.63765812] and KGE_PRIME = [0.70877649]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71583774], KGE = [0.63619795] and KGE_PRIME = [0.70823227]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71504153], KGE = [0.63435549] and KGE_PRIME = [0.70688782]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71492057], KGE = [0.63360002] and KGE_PRIME = [0.70595764]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71469222], KGE = [0.63243667] and KGE_PRIME = [0.70514573]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 395 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '395', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_395_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.7142299], KGE = [0.63081379] and KGE_PRIME = [0.70476716]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.81, Relative - RMSE: 0.41
and Correlations (Pearson, Rscore): (0.60, 0.27)
NSE = [0.27016373], KGE = [0.58171985] and KGE_PRIME = [0.59284848]
R score: 0.27 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.67, 0.43)
NSE = [0.43256394], KGE = [0.60493125] and KGE_PRIME = [0.63292993]
R score: 0.43 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.68, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.70, 0.49)
NSE = [0.49437211], KGE = [0.60714155] and KGE_PRIME = [0.63565504]
R score: 0.49 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.52556965], KGE = [0.60239127] and KGE_PRIME = [0.64029832]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.54554429], KGE = [0.60057768] and KGE_PRIME = [0.63842465]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55504893], KGE = [0.59370936] and KGE_PRIME = [0.63678322]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56647476], KGE = [0.59081927] and KGE_PRIME = [0.63547223]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.5700527], KGE = [0.58169635] and KGE_PRIME = [0.63170609]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57285848], KGE = [0.57795344] and KGE_PRIME = [0.6290717]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57652961], KGE = [0.57399056] and KGE_PRIME = [0.62690221]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58007562], KGE = [0.56899082] and KGE_PRIME = [0.62590143]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58201813], KGE = [0.56693911] and KGE_PRIME = [0.62279071]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.5807683], KGE = [0.56458291] and KGE_PRIME = [0.61762851]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58214125], KGE = [0.56200629] and KGE_PRIME = [0.61537135]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5821464], KGE = [0.55810908] and KGE_PRIME = [0.61228667]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58347123], KGE = [0.55619793] and KGE_PRIME = [0.61199212]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58280994], KGE = [0.55461032] and KGE_PRIME = [0.6096859]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58402798], KGE = [0.55250634] and KGE_PRIME = [0.60841704]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58229131], KGE = [0.5495795] and KGE_PRIME = [0.60466147]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58212762], KGE = [0.54794347] and KGE_PRIME = [0.60427493]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58290704], KGE = [0.54634792] and KGE_PRIME = [0.60578977]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58282102], KGE = [0.54543047] and KGE_PRIME = [0.60454665]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58275933], KGE = [0.5440395] and KGE_PRIME = [0.60307809]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58059443], KGE = [0.54086089] and KGE_PRIME = [0.60217784]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58083233], KGE = [0.53975863] and KGE_PRIME = [0.60060361]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5806543], KGE = [0.5381826] and KGE_PRIME = [0.59954294]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58093046], KGE = [0.53730492] and KGE_PRIME = [0.59784231]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5804811], KGE = [0.53536284] and KGE_PRIME = [0.59622117]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.58021341], KGE = [0.53429823] and KGE_PRIME = [0.59456618]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5802569], KGE = [0.53302955] and KGE_PRIME = [0.59413036]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57938397], KGE = [0.53165128] and KGE_PRIME = [0.59288958]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58066625], KGE = [0.53218665] and KGE_PRIME = [0.59225788]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57965701], KGE = [0.5305227] and KGE_PRIME = [0.59078616]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57879702], KGE = [0.52829597] and KGE_PRIME = [0.58863581]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57819117], KGE = [0.52658464] and KGE_PRIME = [0.58692672]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57745229], KGE = [0.52492816] and KGE_PRIME = [0.58574788]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57624809], KGE = [0.5227486] and KGE_PRIME = [0.58466562]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.5761241], KGE = [0.52205016] and KGE_PRIME = [0.58343598]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57587572], KGE = [0.52020701] and KGE_PRIME = [0.58294581]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57581408], KGE = [0.51946268] and KGE_PRIME = [0.58250503]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.5751539], KGE = [0.51787026] and KGE_PRIME = [0.58188581]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57534694], KGE = [0.51726888] and KGE_PRIME = [0.58093392]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57500705], KGE = [0.51595433] and KGE_PRIME = [0.58067706]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.57)
NSE = [0.57405688], KGE = [0.51519385] and KGE_PRIME = [0.57998092]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.57)
NSE = [0.5736868], KGE = [0.51418047] and KGE_PRIME = [0.57954433]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.57)
NSE = [0.5735913], KGE = [0.51328064] and KGE_PRIME = [0.57864791]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.57)
NSE = [0.5730566], KGE = [0.51297494] and KGE_PRIME = [0.5772868]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.57)
NSE = [0.5722524], KGE = [0.51176449] and KGE_PRIME = [0.57605155]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 400 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '400', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_400_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.57)
NSE = [0.57207359], KGE = [0.51110745] and KGE_PRIME = [0.5755428]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.80, Relative - RMSE: 0.40
and Correlations (Pearson, Rscore): (0.63, 0.29)
NSE = [0.28849887], KGE = [0.62340352] and KGE_PRIME = [0.62602864]
R score: 0.29 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.69, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.70, 0.47)
NSE = [0.4746705], KGE = [0.66055497] and KGE_PRIME = [0.66152454]
R score: 0.47 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.66, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.52728936], KGE = [0.65719987] and KGE_PRIME = [0.66250147]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.55239251], KGE = [0.65362781] and KGE_PRIME = [0.66151695]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57114518], KGE = [0.64906321] and KGE_PRIME = [0.65143142]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.58075527], KGE = [0.64189546] and KGE_PRIME = [0.6466036]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58780888], KGE = [0.63568617] and KGE_PRIME = [0.65015223]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59485955], KGE = [0.6317322] and KGE_PRIME = [0.64276566]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59798748], KGE = [0.62691037] and KGE_PRIME = [0.63154349]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.5969964], KGE = [0.623018] and KGE_PRIME = [0.6292612]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60230419], KGE = [0.62159398] and KGE_PRIME = [0.62531556]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60603621], KGE = [0.61981724] and KGE_PRIME = [0.62475504]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60660035], KGE = [0.61771606] and KGE_PRIME = [0.6197679]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60861481], KGE = [0.61480464] and KGE_PRIME = [0.62129137]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60924083], KGE = [0.61221332] and KGE_PRIME = [0.62261305]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61042658], KGE = [0.60880591] and KGE_PRIME = [0.61934293]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61156209], KGE = [0.60630454] and KGE_PRIME = [0.61589626]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.6110712], KGE = [0.60317168] and KGE_PRIME = [0.61314287]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61079346], KGE = [0.60148582] and KGE_PRIME = [0.61263875]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61002802], KGE = [0.59906041] and KGE_PRIME = [0.61126154]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61041128], KGE = [0.59780352] and KGE_PRIME = [0.61076243]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60900169], KGE = [0.59503074] and KGE_PRIME = [0.61022518]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60996763], KGE = [0.59353188] and KGE_PRIME = [0.60834475]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.6103641], KGE = [0.59232169] and KGE_PRIME = [0.6079642]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60987803], KGE = [0.59133119] and KGE_PRIME = [0.6077048]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61027986], KGE = [0.59034996] and KGE_PRIME = [0.60758496]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61131622], KGE = [0.58931349] and KGE_PRIME = [0.60720889]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61110135], KGE = [0.58769038] and KGE_PRIME = [0.6066387]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61091314], KGE = [0.58654993] and KGE_PRIME = [0.60508911]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61054735], KGE = [0.58492609] and KGE_PRIME = [0.60422305]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60943156], KGE = [0.58226613] and KGE_PRIME = [0.60364572]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60894996], KGE = [0.58054232] and KGE_PRIME = [0.60177665]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60877351], KGE = [0.57929501] and KGE_PRIME = [0.60150848]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60849996], KGE = [0.57786469] and KGE_PRIME = [0.60024154]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60794385], KGE = [0.57663806] and KGE_PRIME = [0.59946445]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60766504], KGE = [0.57590085] and KGE_PRIME = [0.59686443]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60705391], KGE = [0.57449805] and KGE_PRIME = [0.59618143]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60729254], KGE = [0.57384779] and KGE_PRIME = [0.59669741]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.6069316], KGE = [0.57301921] and KGE_PRIME = [0.59537395]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60710748], KGE = [0.57261863] and KGE_PRIME = [0.59546593]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60747775], KGE = [0.57184348] and KGE_PRIME = [0.59445916]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60729236], KGE = [0.57095107] and KGE_PRIME = [0.5937534]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60729033], KGE = [0.57015226] and KGE_PRIME = [0.59349462]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60661573], KGE = [0.56868929] and KGE_PRIME = [0.59236828]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60567231], KGE = [0.56713837] and KGE_PRIME = [0.59077988]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60581978], KGE = [0.5661716] and KGE_PRIME = [0.59048186]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60595284], KGE = [0.56586325] and KGE_PRIME = [0.58977881]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60527125], KGE = [0.56473955] and KGE_PRIME = [0.58944012]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 405 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '405', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_405_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60510667], KGE = [0.56420328] and KGE_PRIME = [0.58890641]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.70, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.72, 0.45)
NSE = [0.44933509], KGE = [0.70856455] and KGE_PRIME = [0.70824196]
R score: 0.45 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59379228], KGE = [0.7404553] and KGE_PRIME = [0.76009683]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64981551], KGE = [0.73555785] and KGE_PRIME = [0.76848729]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66844415], KGE = [0.72681373] and KGE_PRIME = [0.76656274]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68673384], KGE = [0.72437359] and KGE_PRIME = [0.7663748]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69604587], KGE = [0.72121748] and KGE_PRIME = [0.76384789]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70221672], KGE = [0.71529197] and KGE_PRIME = [0.76069056]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.709073], KGE = [0.71086217] and KGE_PRIME = [0.75994472]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71098391], KGE = [0.70719073] and KGE_PRIME = [0.75624647]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71420823], KGE = [0.70299855] and KGE_PRIME = [0.75285657]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71560911], KGE = [0.6984124] and KGE_PRIME = [0.75076244]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.85, 0.72)
NSE = [0.71701788], KGE = [0.69729331] and KGE_PRIME = [0.74705264]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71788426], KGE = [0.69397903] and KGE_PRIME = [0.74508115]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72084987], KGE = [0.69062925] and KGE_PRIME = [0.74454604]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72137961], KGE = [0.68783954] and KGE_PRIME = [0.74247912]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72208104], KGE = [0.68541154] and KGE_PRIME = [0.74068908]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72069128], KGE = [0.68280178] and KGE_PRIME = [0.73891144]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71968566], KGE = [0.67956469] and KGE_PRIME = [0.73589453]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72057899], KGE = [0.67792628] and KGE_PRIME = [0.73563558]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7213784], KGE = [0.67650788] and KGE_PRIME = [0.73479513]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72165033], KGE = [0.6747964] and KGE_PRIME = [0.73355848]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72132564], KGE = [0.67292384] and KGE_PRIME = [0.73256204]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72186453], KGE = [0.66981506] and KGE_PRIME = [0.73202578]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.49, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72221353], KGE = [0.66864097] and KGE_PRIME = [0.73067533]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72128723], KGE = [0.66697933] and KGE_PRIME = [0.72830872]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72128345], KGE = [0.6653088] and KGE_PRIME = [0.72807485]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72164099], KGE = [0.66478163] and KGE_PRIME = [0.72713483]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.72060874], KGE = [0.66277551] and KGE_PRIME = [0.72596919]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71986711], KGE = [0.66142925] and KGE_PRIME = [0.72458415]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71892342], KGE = [0.65896178] and KGE_PRIME = [0.7227889]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.718383], KGE = [0.65738203] and KGE_PRIME = [0.7215086]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71783529], KGE = [0.6550556] and KGE_PRIME = [0.72042789]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71756056], KGE = [0.65325672] and KGE_PRIME = [0.71967005]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.7178903], KGE = [0.65261712] and KGE_PRIME = [0.71836671]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71793423], KGE = [0.65146471] and KGE_PRIME = [0.71770746]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.7177634], KGE = [0.65088907] and KGE_PRIME = [0.71629879]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71756109], KGE = [0.64865324] and KGE_PRIME = [0.7161229]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71723986], KGE = [0.64696608] and KGE_PRIME = [0.71486353]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71661065], KGE = [0.64594664] and KGE_PRIME = [0.71384649]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.72)
NSE = [0.71576744], KGE = [0.6445207] and KGE_PRIME = [0.71293718]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71531147], KGE = [0.64416108] and KGE_PRIME = [0.71184259]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71488045], KGE = [0.64260878] and KGE_PRIME = [0.71137123]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71467214], KGE = [0.64085278] and KGE_PRIME = [0.71016554]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71445182], KGE = [0.63892091] and KGE_PRIME = [0.70942933]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.7144487], KGE = [0.6381202] and KGE_PRIME = [0.70829437]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.7143879], KGE = [0.6375912] and KGE_PRIME = [0.70679978]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71366607], KGE = [0.63599294] and KGE_PRIME = [0.70531289]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71348209], KGE = [0.63530299] and KGE_PRIME = [0.70439008]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 410 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '410', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_410_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.87, 0.71)
NSE = [0.71327381], KGE = [0.63455231] and KGE_PRIME = [0.70402897]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.81, Relative - RMSE: 0.40
and Correlations (Pearson, Rscore): (0.61, 0.28)
NSE = [0.27963161], KGE = [0.58974881] and KGE_PRIME = [0.59980868]
R score: 0.28 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.70, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.69, 0.46)
NSE = [0.45991225], KGE = [0.62284543] and KGE_PRIME = [0.64613129]
R score: 0.46 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.66, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.72, 0.51)
NSE = [0.51159591], KGE = [0.61799216] and KGE_PRIME = [0.64794123]
R score: 0.51 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.54111423], KGE = [0.61131284] and KGE_PRIME = [0.64658538]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.55468732], KGE = [0.60317815] and KGE_PRIME = [0.64216943]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55849267], KGE = [0.59292207] and KGE_PRIME = [0.63641517]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57028603], KGE = [0.59130841] and KGE_PRIME = [0.63798638]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57492924], KGE = [0.58435606] and KGE_PRIME = [0.63276874]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57665515], KGE = [0.5812635] and KGE_PRIME = [0.62651126]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58265534], KGE = [0.58053883] and KGE_PRIME = [0.62514313]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58581281], KGE = [0.57597508] and KGE_PRIME = [0.62472685]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58642115], KGE = [0.57227408] and KGE_PRIME = [0.62270491]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58713419], KGE = [0.56896041] and KGE_PRIME = [0.61940548]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58755102], KGE = [0.56691957] and KGE_PRIME = [0.61728509]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58750625], KGE = [0.56470149] and KGE_PRIME = [0.6157771]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58800352], KGE = [0.5627147] and KGE_PRIME = [0.61211358]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58838409], KGE = [0.55973929] and KGE_PRIME = [0.61109446]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58708724], KGE = [0.55531746] and KGE_PRIME = [0.60795971]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58684618], KGE = [0.55388612] and KGE_PRIME = [0.60542909]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58732234], KGE = [0.55248014] and KGE_PRIME = [0.60569718]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.5871243], KGE = [0.55036068] and KGE_PRIME = [0.60299187]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58664087], KGE = [0.54856738] and KGE_PRIME = [0.60204119]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58639329], KGE = [0.54631265] and KGE_PRIME = [0.60046172]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58584616], KGE = [0.54440235] and KGE_PRIME = [0.59833654]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58608513], KGE = [0.54261551] and KGE_PRIME = [0.59816318]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58655888], KGE = [0.54170293] and KGE_PRIME = [0.59826992]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58519008], KGE = [0.53994306] and KGE_PRIME = [0.59685296]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58481687], KGE = [0.53828745] and KGE_PRIME = [0.59566609]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58585527], KGE = [0.53840105] and KGE_PRIME = [0.59546598]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58562929], KGE = [0.53701707] and KGE_PRIME = [0.59472231]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58490139], KGE = [0.5353729] and KGE_PRIME = [0.59219493]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58485328], KGE = [0.53347331] and KGE_PRIME = [0.5913103]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58453663], KGE = [0.53236252] and KGE_PRIME = [0.59008969]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58331804], KGE = [0.53043457] and KGE_PRIME = [0.58840959]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58276986], KGE = [0.52901545] and KGE_PRIME = [0.58685692]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58254138], KGE = [0.52742882] and KGE_PRIME = [0.58629804]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58141426], KGE = [0.52559141] and KGE_PRIME = [0.58512559]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58092351], KGE = [0.5244161] and KGE_PRIME = [0.58433211]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58120335], KGE = [0.52385829] and KGE_PRIME = [0.58406245]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58112819], KGE = [0.52353044] and KGE_PRIME = [0.58331589]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58089725], KGE = [0.52280802] and KGE_PRIME = [0.58232876]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58069998], KGE = [0.52245754] and KGE_PRIME = [0.58054945]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.58005301], KGE = [0.52091241] and KGE_PRIME = [0.57976299]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57947299], KGE = [0.51995855] and KGE_PRIME = [0.57902141]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57963665], KGE = [0.52003075] and KGE_PRIME = [0.57807526]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57974834], KGE = [0.51914588] and KGE_PRIME = [0.57742836]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57930815], KGE = [0.51794897] and KGE_PRIME = [0.57672223]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57840667], KGE = [0.51667997] and KGE_PRIME = [0.57576201]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 415 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '415', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_415_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.58)
NSE = [0.57853241], KGE = [0.51633012] and KGE_PRIME = [0.57490077]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.80, Relative - RMSE: 0.40
and Correlations (Pearson, Rscore): (0.63, 0.29)
NSE = [0.29049551], KGE = [0.62785523] and KGE_PRIME = [0.62679833]
R score: 0.29 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.68, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.71, 0.49)
NSE = [0.48594261], KGE = [0.6663559] and KGE_PRIME = [0.66018842]
R score: 0.49 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.53941883], KGE = [0.66382934] and KGE_PRIME = [0.66536105]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.56209324], KGE = [0.66081505] and KGE_PRIME = [0.66965991]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57593238], KGE = [0.65376283] and KGE_PRIME = [0.65564686]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58448043], KGE = [0.64574499] and KGE_PRIME = [0.64776473]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59109418], KGE = [0.64013327] and KGE_PRIME = [0.64740425]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59946803], KGE = [0.63771698] and KGE_PRIME = [0.64497715]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.5999148], KGE = [0.63185046] and KGE_PRIME = [0.63574174]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60169246], KGE = [0.62840455] and KGE_PRIME = [0.63481727]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60360778], KGE = [0.62582285] and KGE_PRIME = [0.62831768]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60794924], KGE = [0.62318417] and KGE_PRIME = [0.62790182]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60898559], KGE = [0.62004478] and KGE_PRIME = [0.62188035]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61117256], KGE = [0.61784596] and KGE_PRIME = [0.62163584]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61250543], KGE = [0.61495734] and KGE_PRIME = [0.61870715]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61259381], KGE = [0.61273425] and KGE_PRIME = [0.61709997]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.6145381], KGE = [0.61167865] and KGE_PRIME = [0.6158196]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61522463], KGE = [0.6093812] and KGE_PRIME = [0.61307154]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61702352], KGE = [0.60769938] and KGE_PRIME = [0.61454163]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61706143], KGE = [0.60613181] and KGE_PRIME = [0.61516028]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61563769], KGE = [0.60433159] and KGE_PRIME = [0.61393056]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61502537], KGE = [0.60223523] and KGE_PRIME = [0.61073894]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.614836], KGE = [0.60022528] and KGE_PRIME = [0.608416]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61462129], KGE = [0.59825291] and KGE_PRIME = [0.60901319]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.6146776], KGE = [0.59684358] and KGE_PRIME = [0.60729436]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61434451], KGE = [0.59479133] and KGE_PRIME = [0.60568087]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.6145876], KGE = [0.59379297] and KGE_PRIME = [0.60519993]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61370014], KGE = [0.59221102] and KGE_PRIME = [0.60412297]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61303386], KGE = [0.59041426] and KGE_PRIME = [0.60283525]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61417146], KGE = [0.58999019] and KGE_PRIME = [0.60267411]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61371203], KGE = [0.58832565] and KGE_PRIME = [0.60154111]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61316245], KGE = [0.58698572] and KGE_PRIME = [0.60098478]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61259806], KGE = [0.5853862] and KGE_PRIME = [0.59954776]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61297371], KGE = [0.58472136] and KGE_PRIME = [0.59849841]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61210587], KGE = [0.58292933] and KGE_PRIME = [0.59676728]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61237161], KGE = [0.58179877] and KGE_PRIME = [0.59613344]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61217266], KGE = [0.58062488] and KGE_PRIME = [0.59558142]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61362864], KGE = [0.58034406] and KGE_PRIME = [0.5965928]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61323128], KGE = [0.57907717] and KGE_PRIME = [0.59729463]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61343773], KGE = [0.57852906] and KGE_PRIME = [0.59666044]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61348363], KGE = [0.57814791] and KGE_PRIME = [0.59578206]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61321536], KGE = [0.57707588] and KGE_PRIME = [0.59461869]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61276668], KGE = [0.57602213] and KGE_PRIME = [0.59312245]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.6131514], KGE = [0.57520952] and KGE_PRIME = [0.59340527]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61224478], KGE = [0.57315907] and KGE_PRIME = [0.59254523]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61165991], KGE = [0.57194728] and KGE_PRIME = [0.59091009]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61154665], KGE = [0.57122923] and KGE_PRIME = [0.59069519]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.6110122], KGE = [0.57029495] and KGE_PRIME = [0.58969177]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 420 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '420', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_420_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61060463], KGE = [0.56956505] and KGE_PRIME = [0.58820805]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.40)
NSE = [0.39959634], KGE = [0.66873253] and KGE_PRIME = [0.67552559]
R score: 0.4 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.56199878], KGE = [0.69027378] and KGE_PRIME = [0.71673276]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60755754], KGE = [0.68324021] and KGE_PRIME = [0.7172838]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63202632], KGE = [0.67659864] and KGE_PRIME = [0.70733874]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65022274], KGE = [0.67251159] and KGE_PRIME = [0.7025532]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65798773], KGE = [0.66747254] and KGE_PRIME = [0.69540306]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66414211], KGE = [0.66253301] and KGE_PRIME = [0.69284296]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67014781], KGE = [0.66101801] and KGE_PRIME = [0.69411277]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.6699611], KGE = [0.65334799] and KGE_PRIME = [0.69092559]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67529986], KGE = [0.65062486] and KGE_PRIME = [0.69062181]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67766785], KGE = [0.64942567] and KGE_PRIME = [0.68860683]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67922185], KGE = [0.64762478] and KGE_PRIME = [0.68573039]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68134906], KGE = [0.64340364] and KGE_PRIME = [0.6851226]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68176799], KGE = [0.64006003] and KGE_PRIME = [0.68280682]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68220301], KGE = [0.63631875] and KGE_PRIME = [0.68028403]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6835379], KGE = [0.63491574] and KGE_PRIME = [0.68040971]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68401657], KGE = [0.63181378] and KGE_PRIME = [0.67798983]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6841906], KGE = [0.6297605] and KGE_PRIME = [0.67560219]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68387914], KGE = [0.62665722] and KGE_PRIME = [0.67306328]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68382719], KGE = [0.62397457] and KGE_PRIME = [0.67117848]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68398983], KGE = [0.62253829] and KGE_PRIME = [0.66950254]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68253155], KGE = [0.62067159] and KGE_PRIME = [0.66665929]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6825105], KGE = [0.61784216] and KGE_PRIME = [0.66525896]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68194168], KGE = [0.61550659] and KGE_PRIME = [0.66334079]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68179404], KGE = [0.61359807] and KGE_PRIME = [0.66013972]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68117769], KGE = [0.61126123] and KGE_PRIME = [0.65920209]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68169346], KGE = [0.61137353] and KGE_PRIME = [0.65664446]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68156539], KGE = [0.60987323] and KGE_PRIME = [0.6547811]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68241635], KGE = [0.6089702] and KGE_PRIME = [0.65346003]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68268952], KGE = [0.6086431] and KGE_PRIME = [0.65256122]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68252456], KGE = [0.60751393] and KGE_PRIME = [0.65129669]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68241801], KGE = [0.60538627] and KGE_PRIME = [0.65026832]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68284784], KGE = [0.60457604] and KGE_PRIME = [0.65007573]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68249133], KGE = [0.60364623] and KGE_PRIME = [0.64883996]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68113103], KGE = [0.60171503] and KGE_PRIME = [0.64718079]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68007189], KGE = [0.60060592] and KGE_PRIME = [0.64485928]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67927056], KGE = [0.5993494] and KGE_PRIME = [0.64363381]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67943215], KGE = [0.59831531] and KGE_PRIME = [0.64272601]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67893576], KGE = [0.59674763] and KGE_PRIME = [0.64126773]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67824152], KGE = [0.59541725] and KGE_PRIME = [0.63984983]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67812129], KGE = [0.59461289] and KGE_PRIME = [0.63963264]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67769805], KGE = [0.59312739] and KGE_PRIME = [0.63808876]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67731898], KGE = [0.59216402] and KGE_PRIME = [0.63768296]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67631759], KGE = [0.59070213] and KGE_PRIME = [0.63639641]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67640065], KGE = [0.5898924] and KGE_PRIME = [0.63689102]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67685929], KGE = [0.58918209] and KGE_PRIME = [0.63647835]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67664365], KGE = [0.58847012] and KGE_PRIME = [0.63551502]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67609688], KGE = [0.58731098] and KGE_PRIME = [0.63482759]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 425 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '425', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_425_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67609854], KGE = [0.58631789] and KGE_PRIME = [0.63459537]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.81, Relative - RMSE: 0.40
and Correlations (Pearson, Rscore): (0.62, 0.28)
NSE = [0.28415878], KGE = [0.61692013] and KGE_PRIME = [0.61884135]
R score: 0.28 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.70, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.70, 0.47)
NSE = [0.46816663], KGE = [0.65492733] and KGE_PRIME = [0.65929291]
R score: 0.47 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.53856501], KGE = [0.66008646] and KGE_PRIME = [0.66809689]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.56308894], KGE = [0.65420438] and KGE_PRIME = [0.66401185]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.75, 0.57)
NSE = [0.56925216], KGE = [0.64632235] and KGE_PRIME = [0.64941485]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57770675], KGE = [0.6377461] and KGE_PRIME = [0.64945494]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58392582], KGE = [0.63292949] and KGE_PRIME = [0.64203634]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59053931], KGE = [0.62920983] and KGE_PRIME = [0.64433512]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59699351], KGE = [0.62702001] and KGE_PRIME = [0.64185349]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60048047], KGE = [0.62323314] and KGE_PRIME = [0.63637444]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.6032533], KGE = [0.6216608] and KGE_PRIME = [0.63389133]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60563548], KGE = [0.61809684] and KGE_PRIME = [0.63353961]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60592345], KGE = [0.61416834] and KGE_PRIME = [0.63218882]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60504326], KGE = [0.60877965] and KGE_PRIME = [0.62861708]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60423449], KGE = [0.60594123] and KGE_PRIME = [0.62333295]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60601548], KGE = [0.60352871] and KGE_PRIME = [0.62279578]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60958372], KGE = [0.60267716] and KGE_PRIME = [0.6220988]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61122011], KGE = [0.60137109] and KGE_PRIME = [0.62045795]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61068942], KGE = [0.59913273] and KGE_PRIME = [0.61797858]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61056095], KGE = [0.59722995] and KGE_PRIME = [0.61657038]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60928728], KGE = [0.59547303] and KGE_PRIME = [0.61471676]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60798393], KGE = [0.59320187] and KGE_PRIME = [0.61115415]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60792065], KGE = [0.59149148] and KGE_PRIME = [0.61042211]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60803559], KGE = [0.58970806] and KGE_PRIME = [0.60849458]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60865982], KGE = [0.58877119] and KGE_PRIME = [0.60777804]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60829042], KGE = [0.58722206] and KGE_PRIME = [0.60805295]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60924408], KGE = [0.58644115] and KGE_PRIME = [0.60708018]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60927956], KGE = [0.58417413] and KGE_PRIME = [0.60744263]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.6086003], KGE = [0.58218104] and KGE_PRIME = [0.60605431]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60815304], KGE = [0.58111384] and KGE_PRIME = [0.60500735]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60717932], KGE = [0.58007173] and KGE_PRIME = [0.60175016]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60619486], KGE = [0.57833336] and KGE_PRIME = [0.59960197]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60569909], KGE = [0.5767553] and KGE_PRIME = [0.5979586]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60473797], KGE = [0.57536662] and KGE_PRIME = [0.59640999]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60380997], KGE = [0.57378378] and KGE_PRIME = [0.59489198]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60393462], KGE = [0.57248108] and KGE_PRIME = [0.5949775]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60441435], KGE = [0.57170235] and KGE_PRIME = [0.5949818]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60499438], KGE = [0.57207305] and KGE_PRIME = [0.59463902]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60452714], KGE = [0.57062138] and KGE_PRIME = [0.59378532]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60521262], KGE = [0.56985284] and KGE_PRIME = [0.59414556]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60543895], KGE = [0.56937751] and KGE_PRIME = [0.5936066]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60542606], KGE = [0.5681054] and KGE_PRIME = [0.59249079]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60555868], KGE = [0.56692975] and KGE_PRIME = [0.59312362]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60472128], KGE = [0.56566934] and KGE_PRIME = [0.59197045]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60488983], KGE = [0.56517422] and KGE_PRIME = [0.59123345]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60421468], KGE = [0.56390141] and KGE_PRIME = [0.59128871]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60376403], KGE = [0.56265084] and KGE_PRIME = [0.59014843]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60309978], KGE = [0.5611579] and KGE_PRIME = [0.58888764]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 430 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '430', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_430_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.6028627], KGE = [0.56053198] and KGE_PRIME = [0.5886529]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.70, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.71, 0.45)
NSE = [0.44715625], KGE = [0.70647567] and KGE_PRIME = [0.70741882]
R score: 0.45 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58667906], KGE = [0.73158728] and KGE_PRIME = [0.75563159]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64432399], KGE = [0.73347014] and KGE_PRIME = [0.7701401]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66733764], KGE = [0.72492144] and KGE_PRIME = [0.76980023]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68554911], KGE = [0.7224595] and KGE_PRIME = [0.76759318]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69627091], KGE = [0.7184323] and KGE_PRIME = [0.76072328]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69948773], KGE = [0.70810639] and KGE_PRIME = [0.75512918]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70157054], KGE = [0.70398119] and KGE_PRIME = [0.75185992]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.7056636], KGE = [0.69934113] and KGE_PRIME = [0.75234342]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70868238], KGE = [0.69549628] and KGE_PRIME = [0.74837754]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.710682], KGE = [0.69051942] and KGE_PRIME = [0.74774656]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71051303], KGE = [0.68711248] and KGE_PRIME = [0.74556443]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71092371], KGE = [0.68366669] and KGE_PRIME = [0.74367687]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71197531], KGE = [0.68013882] and KGE_PRIME = [0.74317483]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71241612], KGE = [0.67766584] and KGE_PRIME = [0.7395909]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71355342], KGE = [0.67552914] and KGE_PRIME = [0.73764954]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71355411], KGE = [0.67193566] and KGE_PRIME = [0.73714445]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71313043], KGE = [0.66973217] and KGE_PRIME = [0.7348521]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71295328], KGE = [0.66786151] and KGE_PRIME = [0.73308307]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71272319], KGE = [0.66568765] and KGE_PRIME = [0.73035269]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71308083], KGE = [0.66363457] and KGE_PRIME = [0.72865643]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71411984], KGE = [0.66209133] and KGE_PRIME = [0.72850751]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71454619], KGE = [0.66224484] and KGE_PRIME = [0.72568485]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71547965], KGE = [0.66116351] and KGE_PRIME = [0.72458406]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71490415], KGE = [0.65890305] and KGE_PRIME = [0.72397876]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71459148], KGE = [0.65734306] and KGE_PRIME = [0.72204759]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.714245], KGE = [0.65555484] and KGE_PRIME = [0.72036571]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71360678], KGE = [0.65369515] and KGE_PRIME = [0.71885329]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71301709], KGE = [0.65162692] and KGE_PRIME = [0.71724164]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71303078], KGE = [0.65040332] and KGE_PRIME = [0.71624669]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71251826], KGE = [0.6494328] and KGE_PRIME = [0.71505446]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71180847], KGE = [0.64719508] and KGE_PRIME = [0.71418607]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71145592], KGE = [0.64600561] and KGE_PRIME = [0.71319953]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71126677], KGE = [0.64475665] and KGE_PRIME = [0.71227567]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71087601], KGE = [0.64334336] and KGE_PRIME = [0.71082918]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71049267], KGE = [0.6416029] and KGE_PRIME = [0.71040127]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71002468], KGE = [0.639933] and KGE_PRIME = [0.70941234]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71007866], KGE = [0.63832194] and KGE_PRIME = [0.70890702]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71035722], KGE = [0.63711085] and KGE_PRIME = [0.70861374]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71019006], KGE = [0.63611046] and KGE_PRIME = [0.70800472]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70964401], KGE = [0.63389871] and KGE_PRIME = [0.70739397]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.708563], KGE = [0.63214341] and KGE_PRIME = [0.70614042]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70839004], KGE = [0.63078377] and KGE_PRIME = [0.70565653]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70730993], KGE = [0.62940873] and KGE_PRIME = [0.70440828]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70710781], KGE = [0.62837441] and KGE_PRIME = [0.70358848]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.7066754], KGE = [0.62697561] and KGE_PRIME = [0.70290609]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70698795], KGE = [0.62649225] and KGE_PRIME = [0.70212674]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70575487], KGE = [0.62455478] and KGE_PRIME = [0.70038722]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 435 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '435', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_435_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70512114], KGE = [0.62353325] and KGE_PRIME = [0.69936992]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.44)
NSE = [0.43907332], KGE = [0.67374001] and KGE_PRIME = [0.68477211]
R score: 0.44 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57211198], KGE = [0.68636389] and KGE_PRIME = [0.71592662]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62075081], KGE = [0.68225729] and KGE_PRIME = [0.71385861]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64747221], KGE = [0.6785148] and KGE_PRIME = [0.71155212]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66075632], KGE = [0.67446857] and KGE_PRIME = [0.71297444]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66945206], KGE = [0.66452415] and KGE_PRIME = [0.71033183]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67022806], KGE = [0.65687968] and KGE_PRIME = [0.69910342]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67433285], KGE = [0.6534849] and KGE_PRIME = [0.69630264]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67699998], KGE = [0.64860514] and KGE_PRIME = [0.69424665]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67964765], KGE = [0.6437771] and KGE_PRIME = [0.69023406]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67909509], KGE = [0.639322] and KGE_PRIME = [0.68765674]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68212363], KGE = [0.63764163] and KGE_PRIME = [0.68535735]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68315787], KGE = [0.63576948] and KGE_PRIME = [0.68341987]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68500075], KGE = [0.63422932] and KGE_PRIME = [0.68190476]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68632838], KGE = [0.63297386] and KGE_PRIME = [0.68091299]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68694623], KGE = [0.62995291] and KGE_PRIME = [0.67776314]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68766818], KGE = [0.62658736] and KGE_PRIME = [0.67634889]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68595983], KGE = [0.62265026] and KGE_PRIME = [0.67310688]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68699931], KGE = [0.62030009] and KGE_PRIME = [0.67156993]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68734852], KGE = [0.61722326] and KGE_PRIME = [0.66906016]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68768227], KGE = [0.61519782] and KGE_PRIME = [0.66783659]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6867557], KGE = [0.61314012] and KGE_PRIME = [0.66616677]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68659236], KGE = [0.61133468] and KGE_PRIME = [0.66464624]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68661109], KGE = [0.61045674] and KGE_PRIME = [0.66346116]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68695531], KGE = [0.6090426] and KGE_PRIME = [0.66167211]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68595014], KGE = [0.6068838] and KGE_PRIME = [0.65803004]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68652434], KGE = [0.60553151] and KGE_PRIME = [0.65543573]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68675472], KGE = [0.60413421] and KGE_PRIME = [0.65471911]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68559408], KGE = [0.60302296] and KGE_PRIME = [0.65196919]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68590136], KGE = [0.60203526] and KGE_PRIME = [0.65187074]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68567368], KGE = [0.60055884] and KGE_PRIME = [0.65047486]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68550371], KGE = [0.59961001] and KGE_PRIME = [0.65060666]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68567888], KGE = [0.59892571] and KGE_PRIME = [0.65025696]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68559924], KGE = [0.59750128] and KGE_PRIME = [0.64956909]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68495772], KGE = [0.59614898] and KGE_PRIME = [0.64819453]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68434275], KGE = [0.59472798] and KGE_PRIME = [0.64765646]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68445895], KGE = [0.59404642] and KGE_PRIME = [0.64700604]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68397868], KGE = [0.59272177] and KGE_PRIME = [0.64570183]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68360798], KGE = [0.59178142] and KGE_PRIME = [0.64453818]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68327704], KGE = [0.59026246] and KGE_PRIME = [0.64398845]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68238491], KGE = [0.58884151] and KGE_PRIME = [0.64258482]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68173815], KGE = [0.58758759] and KGE_PRIME = [0.64161448]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68160914], KGE = [0.58652515] and KGE_PRIME = [0.64075535]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.6813109], KGE = [0.58562182] and KGE_PRIME = [0.63928569]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68106097], KGE = [0.58441361] and KGE_PRIME = [0.63865687]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68071184], KGE = [0.58303745] and KGE_PRIME = [0.63779291]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68062809], KGE = [0.58250426] and KGE_PRIME = [0.63746804]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68040431], KGE = [0.58134456] and KGE_PRIME = [0.63600254]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 440 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '440', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_440_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.6795518], KGE = [0.58016507] and KGE_PRIME = [0.63497414]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.69, 0.42)
NSE = [0.41648559], KGE = [0.67387757] and KGE_PRIME = [0.68190764]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.5675453], KGE = [0.68606542] and KGE_PRIME = [0.71883064]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61214998], KGE = [0.68364111] and KGE_PRIME = [0.70956848]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63652929], KGE = [0.6756422] and KGE_PRIME = [0.70557618]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65458724], KGE = [0.67070709] and KGE_PRIME = [0.70698255]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66136917], KGE = [0.66585533] and KGE_PRIME = [0.69580452]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66617951], KGE = [0.66180246] and KGE_PRIME = [0.69038491]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67356186], KGE = [0.66046993] and KGE_PRIME = [0.68788969]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67500898], KGE = [0.6545065] and KGE_PRIME = [0.69031231]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67508644], KGE = [0.64735171] and KGE_PRIME = [0.68892919]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67937764], KGE = [0.64597661] and KGE_PRIME = [0.68526139]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6797292], KGE = [0.64259288] and KGE_PRIME = [0.68461652]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68183616], KGE = [0.64111757] and KGE_PRIME = [0.68070785]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68165108], KGE = [0.6368515] and KGE_PRIME = [0.67763033]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68299932], KGE = [0.63251261] and KGE_PRIME = [0.67706715]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68245191], KGE = [0.63056598] and KGE_PRIME = [0.67370965]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68238763], KGE = [0.62768248] and KGE_PRIME = [0.67251962]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68208761], KGE = [0.62507917] and KGE_PRIME = [0.67027664]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68255518], KGE = [0.62231139] and KGE_PRIME = [0.66957561]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68299697], KGE = [0.62036032] and KGE_PRIME = [0.66688636]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68171005], KGE = [0.61851397] and KGE_PRIME = [0.66534515]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68081615], KGE = [0.61654202] and KGE_PRIME = [0.66185436]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68036222], KGE = [0.61352434] and KGE_PRIME = [0.65959333]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68131387], KGE = [0.61203209] and KGE_PRIME = [0.6588795]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68208835], KGE = [0.61127252] and KGE_PRIME = [0.65747985]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6821048], KGE = [0.60938704] and KGE_PRIME = [0.65598662]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68164135], KGE = [0.60740858] and KGE_PRIME = [0.65503963]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68151032], KGE = [0.60616092] and KGE_PRIME = [0.65459785]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68091299], KGE = [0.60450769] and KGE_PRIME = [0.65217865]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6807841], KGE = [0.60293608] and KGE_PRIME = [0.64993338]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68056341], KGE = [0.60154592] and KGE_PRIME = [0.64919696]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67988581], KGE = [0.59998185] and KGE_PRIME = [0.64705888]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67934801], KGE = [0.59879908] and KGE_PRIME = [0.64558941]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6789484], KGE = [0.59760794] and KGE_PRIME = [0.64460934]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67846038], KGE = [0.59606864] and KGE_PRIME = [0.64347219]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67854638], KGE = [0.59507774] and KGE_PRIME = [0.64231377]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67859923], KGE = [0.59459539] and KGE_PRIME = [0.64160129]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67793526], KGE = [0.59348008] and KGE_PRIME = [0.64057472]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6775627], KGE = [0.59237497] and KGE_PRIME = [0.63971329]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67733959], KGE = [0.59078325] and KGE_PRIME = [0.63961348]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67716733], KGE = [0.58968526] and KGE_PRIME = [0.6392754]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6766862], KGE = [0.5883603] and KGE_PRIME = [0.63850865]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67696978], KGE = [0.5879082] and KGE_PRIME = [0.63799763]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67632833], KGE = [0.58687128] and KGE_PRIME = [0.63639432]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67588866], KGE = [0.58581165] and KGE_PRIME = [0.63496699]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67609695], KGE = [0.58507077] and KGE_PRIME = [0.63458906]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67579097], KGE = [0.58409591] and KGE_PRIME = [0.63377156]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67527792], KGE = [0.58282312] and KGE_PRIME = [0.63354379]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 445 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '445', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_445_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.86, 0.67)
NSE = [0.6747141], KGE = [0.58198653] and KGE_PRIME = [0.63232847]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.70, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.71, 0.44)
NSE = [0.44161907], KGE = [0.70208971] and KGE_PRIME = [0.70021035]
R score: 0.44 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59845551], KGE = [0.73784193] and KGE_PRIME = [0.76200462]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.65)
NSE = [0.64636654], KGE = [0.73337306] and KGE_PRIME = [0.76938027]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.671659], KGE = [0.72578286] and KGE_PRIME = [0.77049011]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68647964], KGE = [0.72168065] and KGE_PRIME = [0.76611319]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69662699], KGE = [0.71536814] and KGE_PRIME = [0.7604875]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70450691], KGE = [0.70896196] and KGE_PRIME = [0.75872216]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70639376], KGE = [0.70294937] and KGE_PRIME = [0.75377547]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70728666], KGE = [0.69760121] and KGE_PRIME = [0.75097476]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70996255], KGE = [0.6926867] and KGE_PRIME = [0.74678655]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70906642], KGE = [0.68775871] and KGE_PRIME = [0.74523923]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71069811], KGE = [0.6831706] and KGE_PRIME = [0.74313688]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71068376], KGE = [0.68053028] and KGE_PRIME = [0.74112623]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.71070028], KGE = [0.6751609] and KGE_PRIME = [0.73930838]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.7122604], KGE = [0.67105278] and KGE_PRIME = [0.73853493]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71288032], KGE = [0.67018838] and KGE_PRIME = [0.73662707]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71363831], KGE = [0.66761404] and KGE_PRIME = [0.73374754]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71377939], KGE = [0.66599085] and KGE_PRIME = [0.73159404]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71412052], KGE = [0.6634302] and KGE_PRIME = [0.73111629]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71578895], KGE = [0.66284629] and KGE_PRIME = [0.72893268]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71603441], KGE = [0.66118568] and KGE_PRIME = [0.7264638]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71755912], KGE = [0.66108407] and KGE_PRIME = [0.72575245]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71782106], KGE = [0.66005113] and KGE_PRIME = [0.72350394]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71715518], KGE = [0.65828497] and KGE_PRIME = [0.72184098]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71645186], KGE = [0.65674976] and KGE_PRIME = [0.7210013]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.72)
NSE = [0.71540392], KGE = [0.65433815] and KGE_PRIME = [0.72014017]
R score: 0.72 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71464027], KGE = [0.6521888] and KGE_PRIME = [0.71859931]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71450028], KGE = [0.65153943] and KGE_PRIME = [0.71744209]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71361814], KGE = [0.64966967] and KGE_PRIME = [0.71677673]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71303878], KGE = [0.6476986] and KGE_PRIME = [0.71562947]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71311195], KGE = [0.64588733] and KGE_PRIME = [0.71404524]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71273804], KGE = [0.64449638] and KGE_PRIME = [0.71255179]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71279533], KGE = [0.64285165] and KGE_PRIME = [0.7120803]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71234196], KGE = [0.64173809] and KGE_PRIME = [0.71138527]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71226602], KGE = [0.64083762] and KGE_PRIME = [0.71095263]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71139403], KGE = [0.63883112] and KGE_PRIME = [0.70924324]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.50, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71076529], KGE = [0.6365894] and KGE_PRIME = [0.70803721]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.24
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.71019207], KGE = [0.63489069] and KGE_PRIME = [0.70714024]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.7099491], KGE = [0.63398647] and KGE_PRIME = [0.70597812]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70939079], KGE = [0.63274528] and KGE_PRIME = [0.70462759]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70905746], KGE = [0.63096319] and KGE_PRIME = [0.70350928]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.707916], KGE = [0.62969408] and KGE_PRIME = [0.70141627]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70809251], KGE = [0.628232] and KGE_PRIME = [0.70090352]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70744131], KGE = [0.62663909] and KGE_PRIME = [0.70019383]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70713372], KGE = [0.62586581] and KGE_PRIME = [0.69911085]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70731257], KGE = [0.62472148] and KGE_PRIME = [0.69856713]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70727314], KGE = [0.62359301] and KGE_PRIME = [0.69785246]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70748609], KGE = [0.62375818] and KGE_PRIME = [0.69757361]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 450 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '450', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_450_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70683918], KGE = [0.62204474] and KGE_PRIME = [0.69608367]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.68, 0.40)
NSE = [0.4038188], KGE = [0.66669484] and KGE_PRIME = [0.67483024]
R score: 0.4 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57051711], KGE = [0.68985526] and KGE_PRIME = [0.71321969]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60717704], KGE = [0.67655537] and KGE_PRIME = [0.71068678]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63349693], KGE = [0.67321876] and KGE_PRIME = [0.7027096]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64845863], KGE = [0.6685949] and KGE_PRIME = [0.70003104]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66107305], KGE = [0.66286756] and KGE_PRIME = [0.69675179]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66436466], KGE = [0.65809906] and KGE_PRIME = [0.69170581]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67146806], KGE = [0.65636317] and KGE_PRIME = [0.69044554]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67650598], KGE = [0.64970615] and KGE_PRIME = [0.69134981]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6773356], KGE = [0.64571829] and KGE_PRIME = [0.68801432]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67814842], KGE = [0.64171352] and KGE_PRIME = [0.6848411]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67752146], KGE = [0.63779579] and KGE_PRIME = [0.68074242]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67956135], KGE = [0.63491256] and KGE_PRIME = [0.67824769]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68168021], KGE = [0.63193078] and KGE_PRIME = [0.67732527]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68262241], KGE = [0.62828942] and KGE_PRIME = [0.67350282]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68287698], KGE = [0.62543567] and KGE_PRIME = [0.67213975]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68300898], KGE = [0.62232916] and KGE_PRIME = [0.67243246]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68271189], KGE = [0.61947563] and KGE_PRIME = [0.67114819]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68204447], KGE = [0.61769286] and KGE_PRIME = [0.66710532]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68118639], KGE = [0.61412483] and KGE_PRIME = [0.66461924]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68104412], KGE = [0.61218714] and KGE_PRIME = [0.66226529]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68088242], KGE = [0.61074054] and KGE_PRIME = [0.65953272]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6800729], KGE = [0.60831607] and KGE_PRIME = [0.65787591]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67946617], KGE = [0.60728851] and KGE_PRIME = [0.65696496]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67951875], KGE = [0.60590321] and KGE_PRIME = [0.65571383]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6788979], KGE = [0.60398491] and KGE_PRIME = [0.65289448]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67988718], KGE = [0.60275708] and KGE_PRIME = [0.65253755]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67905003], KGE = [0.60146254] and KGE_PRIME = [0.65006498]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67913571], KGE = [0.60072337] and KGE_PRIME = [0.64867384]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67886038], KGE = [0.5990419] and KGE_PRIME = [0.64718797]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67949087], KGE = [0.59756603] and KGE_PRIME = [0.6459224]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67904225], KGE = [0.59600476] and KGE_PRIME = [0.64427248]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67866272], KGE = [0.5943919] and KGE_PRIME = [0.64349533]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67891258], KGE = [0.59344976] and KGE_PRIME = [0.64328904]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67811519], KGE = [0.59212644] and KGE_PRIME = [0.6423554]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6777805], KGE = [0.59097058] and KGE_PRIME = [0.6418681]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.67726821], KGE = [0.58958141] and KGE_PRIME = [0.64088395]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67782498], KGE = [0.58919017] and KGE_PRIME = [0.63983237]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67707509], KGE = [0.58814925] and KGE_PRIME = [0.638927]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67664918], KGE = [0.586477] and KGE_PRIME = [0.63797887]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67685923], KGE = [0.58556219] and KGE_PRIME = [0.63725317]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67661826], KGE = [0.58459335] and KGE_PRIME = [0.635888]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.67579393], KGE = [0.58327059] and KGE_PRIME = [0.63436916]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.6750145], KGE = [0.58230825] and KGE_PRIME = [0.63251423]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.86, 0.67)
NSE = [0.67428838], KGE = [0.5813028] and KGE_PRIME = [0.63200162]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.86, 0.67)
NSE = [0.67349768], KGE = [0.57986605] and KGE_PRIME = [0.63148024]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.86, 0.67)
NSE = [0.6735226], KGE = [0.57881701] and KGE_PRIME = [0.6303463]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.86, 0.67)
NSE = [0.67306486], KGE = [0.57752442] and KGE_PRIME = [0.62951774]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 455 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '455', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_455_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.86, 0.67)
NSE = [0.67250288], KGE = [0.57625797] and KGE_PRIME = [0.62875489]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.44)
NSE = [0.43653529], KGE = [0.67902623] and KGE_PRIME = [0.68883748]
R score: 0.44 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57329299], KGE = [0.69002728] and KGE_PRIME = [0.71737223]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62248141], KGE = [0.68532623] and KGE_PRIME = [0.71411463]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64847094], KGE = [0.68219581] and KGE_PRIME = [0.71346924]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66020807], KGE = [0.67763097] and KGE_PRIME = [0.71394029]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67080471], KGE = [0.66953458] and KGE_PRIME = [0.71030949]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67201746], KGE = [0.66061624] and KGE_PRIME = [0.69951825]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67604558], KGE = [0.65725172] and KGE_PRIME = [0.69769171]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67984972], KGE = [0.65180074] and KGE_PRIME = [0.69535085]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68091103], KGE = [0.64668364] and KGE_PRIME = [0.69048405]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68188087], KGE = [0.64311686] and KGE_PRIME = [0.68770912]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68443115], KGE = [0.64087082] and KGE_PRIME = [0.68822791]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68564359], KGE = [0.63755268] and KGE_PRIME = [0.68666485]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68858132], KGE = [0.63829878] and KGE_PRIME = [0.68439805]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6896957], KGE = [0.63594536] and KGE_PRIME = [0.68448932]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68870174], KGE = [0.6328141] and KGE_PRIME = [0.68048675]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68988426], KGE = [0.62921824] and KGE_PRIME = [0.67822321]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68892343], KGE = [0.62566248] and KGE_PRIME = [0.67613022]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69008248], KGE = [0.62337768] and KGE_PRIME = [0.67383591]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69039979], KGE = [0.62077401] and KGE_PRIME = [0.67155814]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68954956], KGE = [0.61765776] and KGE_PRIME = [0.66902382]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68981516], KGE = [0.6161145] and KGE_PRIME = [0.66833896]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68997145], KGE = [0.61464139] and KGE_PRIME = [0.66646337]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68991525], KGE = [0.61317728] and KGE_PRIME = [0.66480319]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68930405], KGE = [0.61191486] and KGE_PRIME = [0.66275234]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68929146], KGE = [0.6104508] and KGE_PRIME = [0.65929366]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68950285], KGE = [0.60865649] and KGE_PRIME = [0.65698919]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68932526], KGE = [0.60727667] and KGE_PRIME = [0.65542934]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68897151], KGE = [0.60604436] and KGE_PRIME = [0.65358103]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68872382], KGE = [0.60495406] and KGE_PRIME = [0.65237973]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68800856], KGE = [0.60313446] and KGE_PRIME = [0.65130217]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.687703], KGE = [0.60245941] and KGE_PRIME = [0.65128898]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.6877861], KGE = [0.60119308] and KGE_PRIME = [0.6521023]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68750507], KGE = [0.599847] and KGE_PRIME = [0.65090215]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68794077], KGE = [0.59919071] and KGE_PRIME = [0.64929952]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68789276], KGE = [0.59838687] and KGE_PRIME = [0.64835253]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68740582], KGE = [0.59708597] and KGE_PRIME = [0.64731021]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68675937], KGE = [0.59540739] and KGE_PRIME = [0.64715558]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68601192], KGE = [0.59415751] and KGE_PRIME = [0.64635735]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.68564783], KGE = [0.59309785] and KGE_PRIME = [0.64536522]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68478398], KGE = [0.59137643] and KGE_PRIME = [0.64370261]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68478009], KGE = [0.59064387] and KGE_PRIME = [0.64346308]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68428827], KGE = [0.58938775] and KGE_PRIME = [0.64213777]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68412634], KGE = [0.58865578] and KGE_PRIME = [0.64125764]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68371425], KGE = [0.58761232] and KGE_PRIME = [0.63983318]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68374878], KGE = [0.58633806] and KGE_PRIME = [0.63948258]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68330157], KGE = [0.58520195] and KGE_PRIME = [0.63887718]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68286695], KGE = [0.58395712] and KGE_PRIME = [0.63761819]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 460 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '460', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_460_winds_gradients_1D_tl3.nc
PCs loaded from file
17 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.68)
NSE = [0.68244584], KGE = [0.58321246] and KGE_PRIME = [0.63629908]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.81, Relative - RMSE: 0.41
and Correlations (Pearson, Rscore): (0.62, 0.28)
NSE = [0.27781306], KGE = [0.60982055] and KGE_PRIME = [0.6101169]
R score: 0.28 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.70, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.69, 0.46)
NSE = [0.45552086], KGE = [0.64147412] and KGE_PRIME = [0.64794926]
R score: 0.46 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.52894608], KGE = [0.65087778] and KGE_PRIME = [0.65463393]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.55407483], KGE = [0.64245231] and KGE_PRIME = [0.64904307]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.56388853], KGE = [0.63683653] and KGE_PRIME = [0.64586449]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.5699182], KGE = [0.6268566] and KGE_PRIME = [0.63880236]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57483013], KGE = [0.62061206] and KGE_PRIME = [0.62802586]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58426715], KGE = [0.6189681] and KGE_PRIME = [0.62856234]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58780764], KGE = [0.61489224] and KGE_PRIME = [0.625631]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59025745], KGE = [0.61085353] and KGE_PRIME = [0.62386414]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59327613], KGE = [0.60824487] and KGE_PRIME = [0.62189723]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59313426], KGE = [0.60307212] and KGE_PRIME = [0.6195372]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59463814], KGE = [0.59967552] and KGE_PRIME = [0.61721954]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59452829], KGE = [0.59481313] and KGE_PRIME = [0.61400402]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59564446], KGE = [0.59197838] and KGE_PRIME = [0.61433155]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.5970855], KGE = [0.59129792] and KGE_PRIME = [0.61050957]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59674079], KGE = [0.58918044] and KGE_PRIME = [0.60687446]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59828702], KGE = [0.58781394] and KGE_PRIME = [0.60358295]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59847117], KGE = [0.58592882] and KGE_PRIME = [0.60285884]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59802495], KGE = [0.5840116] and KGE_PRIME = [0.60113214]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59713951], KGE = [0.58204527] and KGE_PRIME = [0.5985147]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.5963321], KGE = [0.57938815] and KGE_PRIME = [0.59571912]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59469025], KGE = [0.5763752] and KGE_PRIME = [0.5928582]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59523997], KGE = [0.57581876] and KGE_PRIME = [0.59326828]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.5947559], KGE = [0.57454653] and KGE_PRIME = [0.59313054]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59459848], KGE = [0.57274879] and KGE_PRIME = [0.59185171]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59493912], KGE = [0.57182007] and KGE_PRIME = [0.59168817]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59526459], KGE = [0.57063867] and KGE_PRIME = [0.58987853]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59601863], KGE = [0.57001595] and KGE_PRIME = [0.58847842]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59544114], KGE = [0.56828561] and KGE_PRIME = [0.58724249]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59492349], KGE = [0.56622025] and KGE_PRIME = [0.58591248]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.5936028], KGE = [0.56399728] and KGE_PRIME = [0.58400575]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59277733], KGE = [0.56230791] and KGE_PRIME = [0.58150276]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59242235], KGE = [0.56100985] and KGE_PRIME = [0.58029384]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59221248], KGE = [0.55931831] and KGE_PRIME = [0.57987509]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59224966], KGE = [0.5582965] and KGE_PRIME = [0.57960368]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.5925325], KGE = [0.55837909] and KGE_PRIME = [0.57946672]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59202352], KGE = [0.55737147] and KGE_PRIME = [0.5786964]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59188361], KGE = [0.55641867] and KGE_PRIME = [0.57824552]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59212605], KGE = [0.55567749] and KGE_PRIME = [0.57758754]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59153101], KGE = [0.55412745] and KGE_PRIME = [0.57622621]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59155416], KGE = [0.55327999] and KGE_PRIME = [0.57610352]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59170735], KGE = [0.55303599] and KGE_PRIME = [0.57543126]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59148134], KGE = [0.55212587] and KGE_PRIME = [0.57503171]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59154528], KGE = [0.55143637] and KGE_PRIME = [0.57403992]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59174279], KGE = [0.55068087] and KGE_PRIME = [0.5742411]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59144498], KGE = [0.5495329] and KGE_PRIME = [0.57324866]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.5909908], KGE = [0.54839946] and KGE_PRIME = [0.57287567]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 465 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '465', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_465_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.5910323], KGE = [0.54772444] and KGE_PRIME = [0.57291127]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.71, 0.43)
NSE = [0.43448824], KGE = [0.69557428] and KGE_PRIME = [0.69159638]
R score: 0.43 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58850025], KGE = [0.73066406] and KGE_PRIME = [0.75606393]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63702246], KGE = [0.72357906] and KGE_PRIME = [0.76230885]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.66262164], KGE = [0.7171634] and KGE_PRIME = [0.76449574]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.82, 0.68)
NSE = [0.67655418], KGE = [0.71051006] and KGE_PRIME = [0.76134777]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68690031], KGE = [0.70609779] and KGE_PRIME = [0.75540213]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6941663], KGE = [0.69980808] and KGE_PRIME = [0.75150279]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69682381], KGE = [0.69181426] and KGE_PRIME = [0.74877415]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69904358], KGE = [0.68942208] and KGE_PRIME = [0.74588465]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70021684], KGE = [0.68377208] and KGE_PRIME = [0.74142172]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.70063099], KGE = [0.67766573] and KGE_PRIME = [0.74011877]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70135753], KGE = [0.67360703] and KGE_PRIME = [0.7378009]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70053662], KGE = [0.66814311] and KGE_PRIME = [0.73445066]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70165975], KGE = [0.66709603] and KGE_PRIME = [0.7329214]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70120193], KGE = [0.66254733] and KGE_PRIME = [0.73115024]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70162396], KGE = [0.6596092] and KGE_PRIME = [0.72927156]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70296137], KGE = [0.65814996] and KGE_PRIME = [0.72769967]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.7045652], KGE = [0.65674456] and KGE_PRIME = [0.72764684]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70449371], KGE = [0.65494052] and KGE_PRIME = [0.72487324]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70533327], KGE = [0.65412662] and KGE_PRIME = [0.72317559]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70602907], KGE = [0.65186471] and KGE_PRIME = [0.72167871]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.85, 0.71)
NSE = [0.70570602], KGE = [0.65125788] and KGE_PRIME = [0.7191345]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70588378], KGE = [0.64929964] and KGE_PRIME = [0.71756531]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70522235], KGE = [0.64862898] and KGE_PRIME = [0.71578453]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70489726], KGE = [0.64604361] and KGE_PRIME = [0.71571284]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.71)
NSE = [0.70507561], KGE = [0.64472288] and KGE_PRIME = [0.71470146]
R score: 0.71 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70408208], KGE = [0.64232147] and KGE_PRIME = [0.713056]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70399698], KGE = [0.64058855] and KGE_PRIME = [0.71228242]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70262875], KGE = [0.63967691] and KGE_PRIME = [0.71075885]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70231485], KGE = [0.63758068] and KGE_PRIME = [0.71008535]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70117281], KGE = [0.63547776] and KGE_PRIME = [0.70878173]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70042313], KGE = [0.63362113] and KGE_PRIME = [0.70750475]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70061353], KGE = [0.63215723] and KGE_PRIME = [0.70666681]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70065394], KGE = [0.63121157] and KGE_PRIME = [0.70552187]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69991632], KGE = [0.62931423] and KGE_PRIME = [0.7041937]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70021617], KGE = [0.62822943] and KGE_PRIME = [0.70292466]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.70042708], KGE = [0.62630322] and KGE_PRIME = [0.70256848]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69924459], KGE = [0.62521993] and KGE_PRIME = [0.70067649]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6990735], KGE = [0.62440695] and KGE_PRIME = [0.69958333]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69755275], KGE = [0.62236215] and KGE_PRIME = [0.69821779]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69725679], KGE = [0.62124758] and KGE_PRIME = [0.69670535]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69670795], KGE = [0.62027358] and KGE_PRIME = [0.69523251]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6968341], KGE = [0.6188637] and KGE_PRIME = [0.69524343]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69718263], KGE = [0.61778686] and KGE_PRIME = [0.69457996]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69632969], KGE = [0.61588929] and KGE_PRIME = [0.69385632]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69510019], KGE = [0.61457523] and KGE_PRIME = [0.69218812]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69518168], KGE = [0.61369071] and KGE_PRIME = [0.69176498]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69522014], KGE = [0.61267176] and KGE_PRIME = [0.69077612]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 470 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '470', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_470_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.25
and Correlations (Pearson, Rscore): (0.86, 0.69)
NSE = [0.69467877], KGE = [0.61145448] and KGE_PRIME = [0.68957389]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.82, Relative - RMSE: 0.41
and Correlations (Pearson, Rscore): (0.61, 0.27)
NSE = [0.26975668], KGE = [0.60453665] and KGE_PRIME = [0.60437223]
R score: 0.27 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.69, 0.45)
NSE = [0.45242988], KGE = [0.63829551] and KGE_PRIME = [0.64697732]
R score: 0.45 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.66, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.52850432], KGE = [0.65054288] and KGE_PRIME = [0.65043866]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.55280291], KGE = [0.64352827] and KGE_PRIME = [0.64699506]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.56212549], KGE = [0.63577052] and KGE_PRIME = [0.64502131]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56988462], KGE = [0.62725688] and KGE_PRIME = [0.6380372]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.5735164], KGE = [0.62026709] and KGE_PRIME = [0.62775041]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58245842], KGE = [0.61906687] and KGE_PRIME = [0.62523048]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58477246], KGE = [0.61433364] and KGE_PRIME = [0.62275033]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58750909], KGE = [0.60962026] and KGE_PRIME = [0.62006985]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59077986], KGE = [0.60771441] and KGE_PRIME = [0.61872179]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59127136], KGE = [0.60240655] and KGE_PRIME = [0.61770521]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59205906], KGE = [0.59901735] and KGE_PRIME = [0.61606261]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59182232], KGE = [0.59366293] and KGE_PRIME = [0.61221361]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59311248], KGE = [0.59122823] and KGE_PRIME = [0.60983034]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59442956], KGE = [0.59017662] and KGE_PRIME = [0.60806548]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59454931], KGE = [0.58865813] and KGE_PRIME = [0.60442281]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59552684], KGE = [0.58659711] and KGE_PRIME = [0.60204886]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59712627], KGE = [0.58596996] and KGE_PRIME = [0.60124565]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59565651], KGE = [0.58301697] and KGE_PRIME = [0.59833165]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59582227], KGE = [0.58121083] and KGE_PRIME = [0.59794791]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59410211], KGE = [0.57868383] and KGE_PRIME = [0.59498344]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59302482], KGE = [0.5759073] and KGE_PRIME = [0.59109315]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59286787], KGE = [0.57475507] and KGE_PRIME = [0.59174892]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59280816], KGE = [0.57384714] and KGE_PRIME = [0.59135527]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59265426], KGE = [0.57192244] and KGE_PRIME = [0.59067143]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59301836], KGE = [0.57104749] and KGE_PRIME = [0.5896196]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59315573], KGE = [0.57020625] and KGE_PRIME = [0.58718314]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59388186], KGE = [0.56878086] and KGE_PRIME = [0.58651691]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59357212], KGE = [0.56737585] and KGE_PRIME = [0.5860104]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59236414], KGE = [0.56494366] and KGE_PRIME = [0.58371971]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59139666], KGE = [0.56339005] and KGE_PRIME = [0.58171846]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59064662], KGE = [0.56137197] and KGE_PRIME = [0.57946803]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59046464], KGE = [0.55969164] and KGE_PRIME = [0.57861843]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59037659], KGE = [0.5586633] and KGE_PRIME = [0.5783288]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59020557], KGE = [0.5575394] and KGE_PRIME = [0.57674118]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59079019], KGE = [0.55763219] and KGE_PRIME = [0.57772433]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59004586], KGE = [0.55624355] and KGE_PRIME = [0.57636785]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59035245], KGE = [0.55577402] and KGE_PRIME = [0.57624104]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59054622], KGE = [0.55496938] and KGE_PRIME = [0.57590045]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58977648], KGE = [0.55359371] and KGE_PRIME = [0.57478307]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58951589], KGE = [0.5528933] and KGE_PRIME = [0.57364258]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58930562], KGE = [0.55212157] and KGE_PRIME = [0.57317982]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58965327], KGE = [0.55132767] and KGE_PRIME = [0.57365216]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.5894497], KGE = [0.55073805] and KGE_PRIME = [0.57321357]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58958958], KGE = [0.54998534] and KGE_PRIME = [0.5726187]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58900305], KGE = [0.54875209] and KGE_PRIME = [0.57173903]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.5886574], KGE = [0.54771047] and KGE_PRIME = [0.57107101]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 475 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '475', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_475_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58897202], KGE = [0.54701699] and KGE_PRIME = [0.5712718]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.83, Relative - RMSE: 0.42
and Correlations (Pearson, Rscore): (0.59, 0.24)
NSE = [0.24016286], KGE = [0.58727444] and KGE_PRIME = [0.58674547]
R score: 0.24 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.66, 0.41)
NSE = [0.41466666], KGE = [0.61928619] and KGE_PRIME = [0.61945925]
R score: 0.41 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.68, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.71, 0.49)
NSE = [0.49376781], KGE = [0.62322813] and KGE_PRIME = [0.62577079]
R score: 0.49 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.53023315], KGE = [0.62482374] and KGE_PRIME = [0.62988779]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.54062932], KGE = [0.61642144] and KGE_PRIME = [0.61914513]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.55077653], KGE = [0.61138774] and KGE_PRIME = [0.61390138]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.56071403], KGE = [0.60909339] and KGE_PRIME = [0.61917481]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.56485934], KGE = [0.60309505] and KGE_PRIME = [0.6165032]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56999889], KGE = [0.59795785] and KGE_PRIME = [0.61662118]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.5748875], KGE = [0.59576171] and KGE_PRIME = [0.61148979]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57524689], KGE = [0.59088347] and KGE_PRIME = [0.60289931]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57374536], KGE = [0.58661684] and KGE_PRIME = [0.59781863]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57541866], KGE = [0.58318844] and KGE_PRIME = [0.59970203]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57749009], KGE = [0.58171166] and KGE_PRIME = [0.59777107]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57833671], KGE = [0.57785513] and KGE_PRIME = [0.59465025]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57861995], KGE = [0.57487643] and KGE_PRIME = [0.59117207]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57873843], KGE = [0.57220863] and KGE_PRIME = [0.58847479]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57812649], KGE = [0.56978882] and KGE_PRIME = [0.58661753]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57779431], KGE = [0.56822565] and KGE_PRIME = [0.58510565]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57721467], KGE = [0.56677757] and KGE_PRIME = [0.5830651]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57638713], KGE = [0.56509491] and KGE_PRIME = [0.58198262]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57618888], KGE = [0.5630778] and KGE_PRIME = [0.58028451]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57623521], KGE = [0.56150547] and KGE_PRIME = [0.57850487]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57644693], KGE = [0.56010193] and KGE_PRIME = [0.57839828]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57659788], KGE = [0.55941034] and KGE_PRIME = [0.57864515]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57659593], KGE = [0.55780384] and KGE_PRIME = [0.57837863]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57631239], KGE = [0.55623218] and KGE_PRIME = [0.57694464]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57657929], KGE = [0.55490566] and KGE_PRIME = [0.57595999]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57759341], KGE = [0.55482919] and KGE_PRIME = [0.5748714]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57767421], KGE = [0.55332225] and KGE_PRIME = [0.57282728]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57782562], KGE = [0.55184791] and KGE_PRIME = [0.57164873]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.5779627], KGE = [0.55074434] and KGE_PRIME = [0.57188643]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57677813], KGE = [0.54880507] and KGE_PRIME = [0.57054098]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57713981], KGE = [0.54835579] and KGE_PRIME = [0.57048531]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57666209], KGE = [0.54671094] and KGE_PRIME = [0.57033192]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57623506], KGE = [0.54538605] and KGE_PRIME = [0.56793432]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57610189], KGE = [0.54449521] and KGE_PRIME = [0.56632588]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57550287], KGE = [0.54276564] and KGE_PRIME = [0.56513973]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57566724], KGE = [0.54202583] and KGE_PRIME = [0.56558725]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.58)
NSE = [0.57573041], KGE = [0.54133412] and KGE_PRIME = [0.56522114]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57491326], KGE = [0.54026696] and KGE_PRIME = [0.56400912]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57395091], KGE = [0.53879043] and KGE_PRIME = [0.56283942]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57395354], KGE = [0.53828532] and KGE_PRIME = [0.56266143]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57348427], KGE = [0.53734308] and KGE_PRIME = [0.5625206]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57325423], KGE = [0.53683547] and KGE_PRIME = [0.56070881]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57369222], KGE = [0.53612535] and KGE_PRIME = [0.55985319]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57346549], KGE = [0.53531316] and KGE_PRIME = [0.55917639]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57345333], KGE = [0.53456044] and KGE_PRIME = [0.55919711]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 480 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '480', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_480_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.57)
NSE = [0.57325288], KGE = [0.53380953] and KGE_PRIME = [0.55907782]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.71, 0.43)
NSE = [0.43016472], KGE = [0.7104503] and KGE_PRIME = [0.71075154]
R score: 0.43 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57010934], KGE = [0.73277244] and KGE_PRIME = [0.74296549]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.62650664], KGE = [0.72522884] and KGE_PRIME = [0.75975774]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64741331], KGE = [0.71508748] and KGE_PRIME = [0.75674356]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.66266705], KGE = [0.71052479] and KGE_PRIME = [0.75538026]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67489458], KGE = [0.70774206] and KGE_PRIME = [0.7534843]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67751801], KGE = [0.69971874] and KGE_PRIME = [0.7464475]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68121339], KGE = [0.69314838] and KGE_PRIME = [0.74162417]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68610656], KGE = [0.68556363] and KGE_PRIME = [0.73963044]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68909767], KGE = [0.68266608] and KGE_PRIME = [0.73779682]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69012927], KGE = [0.67683205] and KGE_PRIME = [0.73619428]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69224149], KGE = [0.67367364] and KGE_PRIME = [0.73330852]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69296501], KGE = [0.67132758] and KGE_PRIME = [0.73130655]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69215114], KGE = [0.66781861] and KGE_PRIME = [0.72825058]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69010033], KGE = [0.66345937] and KGE_PRIME = [0.72514548]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6888444], KGE = [0.6607028] and KGE_PRIME = [0.72186898]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68810242], KGE = [0.65756634] and KGE_PRIME = [0.71987412]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68961591], KGE = [0.65660655] and KGE_PRIME = [0.71842802]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69108454], KGE = [0.65333964] and KGE_PRIME = [0.71739572]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6913747], KGE = [0.65124677] and KGE_PRIME = [0.71549833]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69124961], KGE = [0.64968166] and KGE_PRIME = [0.71414401]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68980054], KGE = [0.64842742] and KGE_PRIME = [0.71133069]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69112218], KGE = [0.64763701] and KGE_PRIME = [0.71089519]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69005259], KGE = [0.64564464] and KGE_PRIME = [0.70915044]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68950577], KGE = [0.64339083] and KGE_PRIME = [0.70867906]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68826028], KGE = [0.64158795] and KGE_PRIME = [0.70655616]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68888168], KGE = [0.64032658] and KGE_PRIME = [0.706314]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68862631], KGE = [0.63834625] and KGE_PRIME = [0.70593344]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68812677], KGE = [0.63713467] and KGE_PRIME = [0.7041191]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68764082], KGE = [0.63535327] and KGE_PRIME = [0.70290077]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68767592], KGE = [0.63464833] and KGE_PRIME = [0.70166956]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6882082], KGE = [0.63414287] and KGE_PRIME = [0.70121132]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68890968], KGE = [0.63344323] and KGE_PRIME = [0.70179449]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68803271], KGE = [0.63116995] and KGE_PRIME = [0.7002581]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68754488], KGE = [0.63014713] and KGE_PRIME = [0.69967713]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68715461], KGE = [0.62857674] and KGE_PRIME = [0.69907754]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68594409], KGE = [0.62672352] and KGE_PRIME = [0.69778988]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68537216], KGE = [0.62570337] and KGE_PRIME = [0.69666382]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68451731], KGE = [0.62474217] and KGE_PRIME = [0.69529283]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68479937], KGE = [0.62364095] and KGE_PRIME = [0.69373953]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68402105], KGE = [0.62233966] and KGE_PRIME = [0.69222134]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68313182], KGE = [0.6214218] and KGE_PRIME = [0.69103849]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68310408], KGE = [0.61973849] and KGE_PRIME = [0.690993]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68291082], KGE = [0.61912536] and KGE_PRIME = [0.69006437]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68289434], KGE = [0.61818432] and KGE_PRIME = [0.68971507]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68243648], KGE = [0.61719865] and KGE_PRIME = [0.68900166]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68233959], KGE = [0.61611046] and KGE_PRIME = [0.6878063]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68231817], KGE = [0.61540714] and KGE_PRIME = [0.6874424]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 485 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '485', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_485_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68200737], KGE = [0.61406113] and KGE_PRIME = [0.68654924]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.71, 0.42)
NSE = [0.42169877], KGE = [0.6977216] and KGE_PRIME = [0.69437178]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57110963], KGE = [0.72865559] and KGE_PRIME = [0.74887514]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62099322], KGE = [0.71673] and KGE_PRIME = [0.75483793]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.65)
NSE = [0.64637653], KGE = [0.70925487] and KGE_PRIME = [0.75795159]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.66014479], KGE = [0.7032565] and KGE_PRIME = [0.75465772]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67219417], KGE = [0.69854903] and KGE_PRIME = [0.7521514]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.6768689], KGE = [0.69198165] and KGE_PRIME = [0.74898744]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67914733], KGE = [0.68422538] and KGE_PRIME = [0.74271889]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68249746], KGE = [0.67899495] and KGE_PRIME = [0.7405802]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68562671], KGE = [0.67583201] and KGE_PRIME = [0.73663574]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6880805], KGE = [0.67335795] and KGE_PRIME = [0.73447244]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69095934], KGE = [0.66969135] and KGE_PRIME = [0.73376123]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69136464], KGE = [0.66536011] and KGE_PRIME = [0.73284097]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69119124], KGE = [0.66263846] and KGE_PRIME = [0.729945]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68913843], KGE = [0.65665827] and KGE_PRIME = [0.72669321]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68969957], KGE = [0.65453228] and KGE_PRIME = [0.72492367]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68976631], KGE = [0.65414421] and KGE_PRIME = [0.72330681]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69113599], KGE = [0.65186976] and KGE_PRIME = [0.72203233]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69168709], KGE = [0.64870502] and KGE_PRIME = [0.71922637]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69127188], KGE = [0.64656933] and KGE_PRIME = [0.71819666]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69191669], KGE = [0.64470593] and KGE_PRIME = [0.71745426]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69334894], KGE = [0.64495865] and KGE_PRIME = [0.71649874]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69267875], KGE = [0.64171463] and KGE_PRIME = [0.71538248]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69333491], KGE = [0.63936263] and KGE_PRIME = [0.71421026]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69283649], KGE = [0.6378995] and KGE_PRIME = [0.71227335]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69268877], KGE = [0.63683086] and KGE_PRIME = [0.71114381]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69188671], KGE = [0.63568399] and KGE_PRIME = [0.70933941]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69126392], KGE = [0.63410063] and KGE_PRIME = [0.70707799]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69111331], KGE = [0.63273351] and KGE_PRIME = [0.70586459]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.6905096], KGE = [0.63165576] and KGE_PRIME = [0.70487418]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.69000966], KGE = [0.62964363] and KGE_PRIME = [0.7039277]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68821325], KGE = [0.62732313] and KGE_PRIME = [0.7028731]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68804399], KGE = [0.62642105] and KGE_PRIME = [0.70254717]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68722467], KGE = [0.62459497] and KGE_PRIME = [0.70151]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68690727], KGE = [0.62319316] and KGE_PRIME = [0.700081]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68645658], KGE = [0.62192778] and KGE_PRIME = [0.69903155]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68640584], KGE = [0.62099452] and KGE_PRIME = [0.69893101]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68551526], KGE = [0.61990813] and KGE_PRIME = [0.69758851]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.69)
NSE = [0.68515961], KGE = [0.61959989] and KGE_PRIME = [0.69712498]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68490941], KGE = [0.61814536] and KGE_PRIME = [0.69596957]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68486125], KGE = [0.61716013] and KGE_PRIME = [0.694885]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68423913], KGE = [0.61621402] and KGE_PRIME = [0.69393344]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68360658], KGE = [0.61479078] and KGE_PRIME = [0.69260588]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68330589], KGE = [0.61364286] and KGE_PRIME = [0.69217798]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68248897], KGE = [0.61251689] and KGE_PRIME = [0.69108142]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68205515], KGE = [0.61132531] and KGE_PRIME = [0.69021358]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68165112], KGE = [0.61023552] and KGE_PRIME = [0.68915025]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.68137134], KGE = [0.60932902] and KGE_PRIME = [0.688671]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 490 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '490', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_490_winds_gradients_1D_tl3.nc
PCs loaded from file
23 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.68)
NSE = [0.6815083], KGE = [0.60808671] and KGE_PRIME = [0.68793909]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.83, Relative - RMSE: 0.42
and Correlations (Pearson, Rscore): (0.59, 0.24)
NSE = [0.24194972], KGE = [0.57972901] and KGE_PRIME = [0.58218031]
R score: 0.24 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.67, 0.43)
NSE = [0.42511449], KGE = [0.61227786] and KGE_PRIME = [0.62098366]
R score: 0.43 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.68, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.70, 0.49)
NSE = [0.49240576], KGE = [0.61551329] and KGE_PRIME = [0.61056871]
R score: 0.49 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.66, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.72, 0.52)
NSE = [0.5165609], KGE = [0.60780779] and KGE_PRIME = [0.60216921]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.54002206], KGE = [0.60789052] and KGE_PRIME = [0.61055224]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.54421938], KGE = [0.59750483] and KGE_PRIME = [0.60854036]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.55149872], KGE = [0.59525416] and KGE_PRIME = [0.60715858]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55802108], KGE = [0.59088607] and KGE_PRIME = [0.6053142]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.562125], KGE = [0.58735739] and KGE_PRIME = [0.60414471]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.5640911], KGE = [0.58312931] and KGE_PRIME = [0.59709394]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56581248], KGE = [0.57767782] and KGE_PRIME = [0.59237292]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.56476379], KGE = [0.57382271] and KGE_PRIME = [0.58801552]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.56459322], KGE = [0.56989087] and KGE_PRIME = [0.58446243]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.56398574], KGE = [0.56590363] and KGE_PRIME = [0.58169916]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56568472], KGE = [0.56294493] and KGE_PRIME = [0.58018015]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56632582], KGE = [0.56135372] and KGE_PRIME = [0.58128678]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.5671603], KGE = [0.5582339] and KGE_PRIME = [0.58131532]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56668003], KGE = [0.55635435] and KGE_PRIME = [0.58011854]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56722608], KGE = [0.5542756] and KGE_PRIME = [0.5786953]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56729058], KGE = [0.55342971] and KGE_PRIME = [0.57695416]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56636711], KGE = [0.55254179] and KGE_PRIME = [0.57634695]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56632032], KGE = [0.55167259] and KGE_PRIME = [0.57504577]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56577925], KGE = [0.54960795] and KGE_PRIME = [0.57201036]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56564047], KGE = [0.54679101] and KGE_PRIME = [0.5715866]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56571783], KGE = [0.5453786] and KGE_PRIME = [0.57043912]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56446477], KGE = [0.54390102] and KGE_PRIME = [0.56909021]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56437174], KGE = [0.54236027] and KGE_PRIME = [0.56800057]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56455707], KGE = [0.54156023] and KGE_PRIME = [0.56766264]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56493389], KGE = [0.54062374] and KGE_PRIME = [0.56643867]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56425657], KGE = [0.53885972] and KGE_PRIME = [0.56551051]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56405892], KGE = [0.53649038] and KGE_PRIME = [0.56489148]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56411206], KGE = [0.53584426] and KGE_PRIME = [0.56441357]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.5645067], KGE = [0.53542985] and KGE_PRIME = [0.56338354]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56461992], KGE = [0.53403831] and KGE_PRIME = [0.56288457]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56517754], KGE = [0.5334339] and KGE_PRIME = [0.56314261]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56449989], KGE = [0.53174184] and KGE_PRIME = [0.56161168]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56384175], KGE = [0.53040231] and KGE_PRIME = [0.56105136]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56316626], KGE = [0.52903754] and KGE_PRIME = [0.5594682]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56295784], KGE = [0.52804614] and KGE_PRIME = [0.55907755]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.5623918], KGE = [0.5265192] and KGE_PRIME = [0.55793895]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56206937], KGE = [0.52569761] and KGE_PRIME = [0.55664437]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56147702], KGE = [0.52413173] and KGE_PRIME = [0.55534573]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56096734], KGE = [0.52300334] and KGE_PRIME = [0.55488258]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56054384], KGE = [0.52197116] and KGE_PRIME = [0.55391319]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.5603373], KGE = [0.52136751] and KGE_PRIME = [0.5536464]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.55964122], KGE = [0.5205387] and KGE_PRIME = [0.55412875]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.55925166], KGE = [0.51987393] and KGE_PRIME = [0.55353776]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.55869875], KGE = [0.51883429] and KGE_PRIME = [0.5526555]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 495 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '495', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_495_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.55837205], KGE = [0.51820117] and KGE_PRIME = [0.55133842]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.41)
NSE = [0.40909322], KGE = [0.69194765] and KGE_PRIME = [0.6928076]
R score: 0.41 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.55901143], KGE = [0.71169886] and KGE_PRIME = [0.73637344]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60968977], KGE = [0.69637808] and KGE_PRIME = [0.74383683]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63859859], KGE = [0.69161392] and KGE_PRIME = [0.74686386]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64749707], KGE = [0.6788103] and KGE_PRIME = [0.74106578]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65988251], KGE = [0.67624692] and KGE_PRIME = [0.73962531]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66535122], KGE = [0.66935385] and KGE_PRIME = [0.73619594]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66936591], KGE = [0.66393189] and KGE_PRIME = [0.73243156]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67334989], KGE = [0.66012004] and KGE_PRIME = [0.73168468]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67562659], KGE = [0.65784006] and KGE_PRIME = [0.72935813]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67596674], KGE = [0.65226836] and KGE_PRIME = [0.7251146]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67648209], KGE = [0.65015367] and KGE_PRIME = [0.7216675]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67912294], KGE = [0.64657531] and KGE_PRIME = [0.720204]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.678671], KGE = [0.64214409] and KGE_PRIME = [0.71860182]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6792902], KGE = [0.63923983] and KGE_PRIME = [0.71707493]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67858528], KGE = [0.6361518] and KGE_PRIME = [0.7137579]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67926349], KGE = [0.63385785] and KGE_PRIME = [0.71188105]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68065414], KGE = [0.63316303] and KGE_PRIME = [0.71047328]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6804626], KGE = [0.63166546] and KGE_PRIME = [0.70922646]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68085174], KGE = [0.62976497] and KGE_PRIME = [0.70698002]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68005794], KGE = [0.62689462] and KGE_PRIME = [0.70531036]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68047631], KGE = [0.62471609] and KGE_PRIME = [0.70369843]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68083993], KGE = [0.62415133] and KGE_PRIME = [0.70302913]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.6803819], KGE = [0.62166335] and KGE_PRIME = [0.70164173]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.68062638], KGE = [0.62117834] and KGE_PRIME = [0.70087559]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67905426], KGE = [0.61933492] and KGE_PRIME = [0.69947005]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67752564], KGE = [0.61833875] and KGE_PRIME = [0.69692946]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67695511], KGE = [0.61707523] and KGE_PRIME = [0.69543768]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67727413], KGE = [0.61626027] and KGE_PRIME = [0.69366028]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67663816], KGE = [0.61461184] and KGE_PRIME = [0.69318847]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67622697], KGE = [0.6126713] and KGE_PRIME = [0.69227179]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67548157], KGE = [0.61017649] and KGE_PRIME = [0.6915665]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67451058], KGE = [0.60795538] and KGE_PRIME = [0.69018791]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67347339], KGE = [0.60618707] and KGE_PRIME = [0.6895882]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67243336], KGE = [0.60510825] and KGE_PRIME = [0.68840549]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67162256], KGE = [0.60293743] and KGE_PRIME = [0.68683651]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67194314], KGE = [0.602331] and KGE_PRIME = [0.68613856]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67130993], KGE = [0.60067216] and KGE_PRIME = [0.68506437]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67065718], KGE = [0.60010353] and KGE_PRIME = [0.68345899]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67074162], KGE = [0.59960809] and KGE_PRIME = [0.68237009]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67044063], KGE = [0.59846541] and KGE_PRIME = [0.68177181]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67004215], KGE = [0.59757272] and KGE_PRIME = [0.68052019]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.6696837], KGE = [0.59629424] and KGE_PRIME = [0.67907543]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66940522], KGE = [0.59528523] and KGE_PRIME = [0.67854287]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66900707], KGE = [0.59404217] and KGE_PRIME = [0.67808138]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66856292], KGE = [0.59292979] and KGE_PRIME = [0.67694874]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66807763], KGE = [0.59124259] and KGE_PRIME = [0.67565695]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66791607], KGE = [0.58980279] and KGE_PRIME = [0.6746193]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 500 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '500', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_500_winds_gradients_1D_tl3.nc
PCs loaded from file
24 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.6673584], KGE = [0.58854818] and KGE_PRIME = [0.67396535]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.83, Relative - RMSE: 0.42
and Correlations (Pearson, Rscore): (0.59, 0.25)
NSE = [0.24532869], KGE = [0.57962938] and KGE_PRIME = [0.58146609]
R score: 0.25 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.67, 0.44)
NSE = [0.43581819], KGE = [0.61904157] and KGE_PRIME = [0.63011329]
R score: 0.44 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.68, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.70, 0.49)
NSE = [0.49109258], KGE = [0.61189053] and KGE_PRIME = [0.61342001]
R score: 0.49 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.66, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.72, 0.52)
NSE = [0.51870151], KGE = [0.60647714] and KGE_PRIME = [0.60538862]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.54)
NSE = [0.53812812], KGE = [0.60482953] and KGE_PRIME = [0.61656011]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.54912217], KGE = [0.59846569] and KGE_PRIME = [0.61400019]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.55456369], KGE = [0.59297017] and KGE_PRIME = [0.61176768]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55888617], KGE = [0.58875131] and KGE_PRIME = [0.60599732]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.56294954], KGE = [0.58496094] and KGE_PRIME = [0.6046526]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.5661602], KGE = [0.58099804] and KGE_PRIME = [0.60300696]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56800812], KGE = [0.57600306] and KGE_PRIME = [0.5955198]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56768508], KGE = [0.57215036] and KGE_PRIME = [0.5927357]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56695224], KGE = [0.56745001] and KGE_PRIME = [0.58785129]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.567449], KGE = [0.56407686] and KGE_PRIME = [0.58733911]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.5676934], KGE = [0.56081254] and KGE_PRIME = [0.58554284]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56816689], KGE = [0.55911675] and KGE_PRIME = [0.58525594]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56693289], KGE = [0.55576252] and KGE_PRIME = [0.58416642]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56809258], KGE = [0.55392978] and KGE_PRIME = [0.58278156]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56798977], KGE = [0.55204586] and KGE_PRIME = [0.57993597]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56812386], KGE = [0.5517084] and KGE_PRIME = [0.57875387]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56687367], KGE = [0.54931514] and KGE_PRIME = [0.57764807]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56611536], KGE = [0.54762225] and KGE_PRIME = [0.57817036]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56644142], KGE = [0.54662504] and KGE_PRIME = [0.57703596]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.5663246], KGE = [0.54479423] and KGE_PRIME = [0.57400802]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56611446], KGE = [0.54267694] and KGE_PRIME = [0.57311532]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56616544], KGE = [0.54053543] and KGE_PRIME = [0.57308385]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56505941], KGE = [0.53923417] and KGE_PRIME = [0.57082423]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.565063], KGE = [0.53786395] and KGE_PRIME = [0.56937424]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56456603], KGE = [0.53596039] and KGE_PRIME = [0.56813333]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56433738], KGE = [0.53492285] and KGE_PRIME = [0.56655953]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56498616], KGE = [0.5343536] and KGE_PRIME = [0.56716013]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56507557], KGE = [0.53347312] and KGE_PRIME = [0.56743627]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56428418], KGE = [0.53175052] and KGE_PRIME = [0.56715855]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56446218], KGE = [0.53015319] and KGE_PRIME = [0.56591335]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56463589], KGE = [0.52922591] and KGE_PRIME = [0.56531871]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.5644129], KGE = [0.52766754] and KGE_PRIME = [0.56488877]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56383586], KGE = [0.52666121] and KGE_PRIME = [0.56357822]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56340769], KGE = [0.52535286] and KGE_PRIME = [0.56219966]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56268579], KGE = [0.5239683] and KGE_PRIME = [0.56068305]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56246728], KGE = [0.52276696] and KGE_PRIME = [0.56020895]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56209782], KGE = [0.52184995] and KGE_PRIME = [0.5587359]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.56095944], KGE = [0.52023472] and KGE_PRIME = [0.55716212]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.55974219], KGE = [0.51908457] and KGE_PRIME = [0.55604118]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.55962736], KGE = [0.51826116] and KGE_PRIME = [0.55517508]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.55919928], KGE = [0.51714953] and KGE_PRIME = [0.55484947]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.55884966], KGE = [0.51624924] and KGE_PRIME = [0.55424128]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.55945208], KGE = [0.51616561] and KGE_PRIME = [0.55446405]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.5588181], KGE = [0.51497382] and KGE_PRIME = [0.55355094]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 505 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '505', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_505_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.56)
NSE = [0.55821659], KGE = [0.51424314] and KGE_PRIME = [0.55274362]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.73, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.68, 0.38)
NSE = [0.38462559], KGE = [0.67576591] and KGE_PRIME = [0.67542775]
R score: 0.38 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.56)
NSE = [0.55901057], KGE = [0.70652156] and KGE_PRIME = [0.73519369]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.6071032], KGE = [0.69395047] and KGE_PRIME = [0.74068016]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63479448], KGE = [0.68547328] and KGE_PRIME = [0.74301128]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65393904], KGE = [0.68222744] and KGE_PRIME = [0.74446405]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65950653], KGE = [0.67345301] and KGE_PRIME = [0.73633387]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66163644], KGE = [0.66518117] and KGE_PRIME = [0.73208035]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66672707], KGE = [0.65887749] and KGE_PRIME = [0.72891326]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66532703], KGE = [0.64999663] and KGE_PRIME = [0.72404367]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66732002], KGE = [0.64752414] and KGE_PRIME = [0.72300584]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67348976], KGE = [0.64782591] and KGE_PRIME = [0.72141735]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67485313], KGE = [0.64419877] and KGE_PRIME = [0.71799347]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67570415], KGE = [0.64087019] and KGE_PRIME = [0.71625376]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67555237], KGE = [0.63664779] and KGE_PRIME = [0.71423757]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67400356], KGE = [0.63395457] and KGE_PRIME = [0.71153567]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67410668], KGE = [0.63073234] and KGE_PRIME = [0.70943144]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67566098], KGE = [0.62862319] and KGE_PRIME = [0.70787622]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67609377], KGE = [0.6263311] and KGE_PRIME = [0.70682249]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67632323], KGE = [0.6244318] and KGE_PRIME = [0.70398305]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67489761], KGE = [0.62135781] and KGE_PRIME = [0.70113703]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.68)
NSE = [0.67548883], KGE = [0.61856423] and KGE_PRIME = [0.69971333]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67470372], KGE = [0.61734702] and KGE_PRIME = [0.69842896]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67482862], KGE = [0.6151621] and KGE_PRIME = [0.69735618]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67409429], KGE = [0.6141267] and KGE_PRIME = [0.69532351]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67322829], KGE = [0.61235847] and KGE_PRIME = [0.69312817]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67233922], KGE = [0.60983142] and KGE_PRIME = [0.69215453]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67300971], KGE = [0.60945556] and KGE_PRIME = [0.69181049]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67302257], KGE = [0.60828216] and KGE_PRIME = [0.69049185]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67347575], KGE = [0.60718655] and KGE_PRIME = [0.69016082]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67304347], KGE = [0.60578949] and KGE_PRIME = [0.68915565]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67273977], KGE = [0.6038282] and KGE_PRIME = [0.68826578]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.6727467], KGE = [0.60266792] and KGE_PRIME = [0.68739597]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67142328], KGE = [0.60080942] and KGE_PRIME = [0.68587934]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67109274], KGE = [0.59970777] and KGE_PRIME = [0.68482072]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.6708767], KGE = [0.59842292] and KGE_PRIME = [0.68363339]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.67041186], KGE = [0.59799603] and KGE_PRIME = [0.68350097]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66908534], KGE = [0.59589721] and KGE_PRIME = [0.68224677]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66835104], KGE = [0.59427524] and KGE_PRIME = [0.68116694]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66763264], KGE = [0.59286872] and KGE_PRIME = [0.68044446]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66703521], KGE = [0.59110921] and KGE_PRIME = [0.67957726]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66569328], KGE = [0.58988569] and KGE_PRIME = [0.67824807]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.67)
NSE = [0.66552528], KGE = [0.5885819] and KGE_PRIME = [0.67765261]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.66)
NSE = [0.66485012], KGE = [0.58769518] and KGE_PRIME = [0.67653449]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.66)
NSE = [0.66487193], KGE = [0.58695227] and KGE_PRIME = [0.67618997]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.66)
NSE = [0.66382342], KGE = [0.58538156] and KGE_PRIME = [0.67449521]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.66)
NSE = [0.66333616], KGE = [0.58380801] and KGE_PRIME = [0.67405964]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.66)
NSE = [0.66275648], KGE = [0.58281289] and KGE_PRIME = [0.67279001]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.66)
NSE = [0.6630115], KGE = [0.58301247] and KGE_PRIME = [0.67239076]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 510 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '510', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_510_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.66)
NSE = [0.66275879], KGE = [0.58206342] and KGE_PRIME = [0.67171719]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.75, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.67, 0.35)
NSE = [0.35266449], KGE = [0.65680011] and KGE_PRIME = [0.65701655]
R score: 0.35 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.53931891], KGE = [0.68918146] and KGE_PRIME = [0.72025233]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.5873748], KGE = [0.67153294] and KGE_PRIME = [0.72421016]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61524123], KGE = [0.6636599] and KGE_PRIME = [0.72732057]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63157985], KGE = [0.65896402] and KGE_PRIME = [0.72692577]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64103392], KGE = [0.65213616] and KGE_PRIME = [0.721259]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64684988], KGE = [0.64891862] and KGE_PRIME = [0.71860564]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64825478], KGE = [0.63966415] and KGE_PRIME = [0.71259298]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64810291], KGE = [0.63333886] and KGE_PRIME = [0.70987274]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64787825], KGE = [0.62797384] and KGE_PRIME = [0.70697161]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65476355], KGE = [0.62883957] and KGE_PRIME = [0.70734302]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65620498], KGE = [0.62449717] and KGE_PRIME = [0.70365335]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65661307], KGE = [0.62232824] and KGE_PRIME = [0.70052116]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65521361], KGE = [0.61806624] and KGE_PRIME = [0.69847318]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65636356], KGE = [0.61623609] and KGE_PRIME = [0.69691977]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65609381], KGE = [0.61257444] and KGE_PRIME = [0.69464883]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65817904], KGE = [0.61206186] and KGE_PRIME = [0.69330173]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65766092], KGE = [0.60911733] and KGE_PRIME = [0.69149138]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65686866], KGE = [0.60667494] and KGE_PRIME = [0.68875643]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.6564537], KGE = [0.60388154] and KGE_PRIME = [0.6867053]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65623601], KGE = [0.60088376] and KGE_PRIME = [0.68557285]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65638354], KGE = [0.59984407] and KGE_PRIME = [0.68393897]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65621034], KGE = [0.59837952] and KGE_PRIME = [0.68238109]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65529469], KGE = [0.59600724] and KGE_PRIME = [0.6812048]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65420731], KGE = [0.59418435] and KGE_PRIME = [0.67928991]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65397329], KGE = [0.59330597] and KGE_PRIME = [0.67795751]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65453029], KGE = [0.59137389] and KGE_PRIME = [0.67722211]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65387924], KGE = [0.59000243] and KGE_PRIME = [0.67524291]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65400218], KGE = [0.58850725] and KGE_PRIME = [0.67465418]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65431894], KGE = [0.58696941] and KGE_PRIME = [0.67427465]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65424411], KGE = [0.58594127] and KGE_PRIME = [0.67339869]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65319624], KGE = [0.58404945] and KGE_PRIME = [0.67200991]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65203668], KGE = [0.58202224] and KGE_PRIME = [0.67023089]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65168752], KGE = [0.58088332] and KGE_PRIME = [0.66954961]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65147549], KGE = [0.57987353] and KGE_PRIME = [0.66942072]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65023815], KGE = [0.57817317] and KGE_PRIME = [0.66835035]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64959566], KGE = [0.57735674] and KGE_PRIME = [0.66736268]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64875463], KGE = [0.57559704] and KGE_PRIME = [0.66593382]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64831018], KGE = [0.57436956] and KGE_PRIME = [0.66467466]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64764966], KGE = [0.57290619] and KGE_PRIME = [0.66405467]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64759161], KGE = [0.57185918] and KGE_PRIME = [0.66359693]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64655623], KGE = [0.57083762] and KGE_PRIME = [0.6622086]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64547775], KGE = [0.56971995] and KGE_PRIME = [0.66050128]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64565324], KGE = [0.5692778] and KGE_PRIME = [0.66008297]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.64419443], KGE = [0.56753507] and KGE_PRIME = [0.65863815]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.64419027], KGE = [0.56666503] and KGE_PRIME = [0.65797191]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.64378347], KGE = [0.565412] and KGE_PRIME = [0.65708006]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.64359319], KGE = [0.56434364] and KGE_PRIME = [0.6562879]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 515 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '515', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_515_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.64334539], KGE = [0.56332659] and KGE_PRIME = [0.6552859]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.67, 0.36)
NSE = [0.36283804], KGE = [0.65952716] and KGE_PRIME = [0.6604337]
R score: 0.36 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.75, 0.55)
NSE = [0.54519117], KGE = [0.69679087] and KGE_PRIME = [0.72507489]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59223768], KGE = [0.67433433] and KGE_PRIME = [0.72589333]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61875449], KGE = [0.66870185] and KGE_PRIME = [0.72986389]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62981197], KGE = [0.66230615] and KGE_PRIME = [0.72461838]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63990183], KGE = [0.6550971] and KGE_PRIME = [0.72061377]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64393715], KGE = [0.64920956] and KGE_PRIME = [0.715168]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64659276], KGE = [0.64221461] and KGE_PRIME = [0.71145768]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.6473022], KGE = [0.63363879] and KGE_PRIME = [0.70867553]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65108485], KGE = [0.6295472] and KGE_PRIME = [0.70699778]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65332553], KGE = [0.62932658] and KGE_PRIME = [0.70525449]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65627938], KGE = [0.6264294] and KGE_PRIME = [0.70296842]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65737011], KGE = [0.62602128] and KGE_PRIME = [0.69941612]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65557321], KGE = [0.62094818] and KGE_PRIME = [0.6968699]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65801043], KGE = [0.61905753] and KGE_PRIME = [0.69690821]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65849191], KGE = [0.61499628] and KGE_PRIME = [0.69404913]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65821133], KGE = [0.61220888] and KGE_PRIME = [0.69206367]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65780672], KGE = [0.6113067] and KGE_PRIME = [0.69016214]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65896702], KGE = [0.60838208] and KGE_PRIME = [0.68914043]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65778059], KGE = [0.60618584] and KGE_PRIME = [0.68601755]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65828101], KGE = [0.60227834] and KGE_PRIME = [0.68498684]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65752922], KGE = [0.60129316] and KGE_PRIME = [0.68360475]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65748498], KGE = [0.5996738] and KGE_PRIME = [0.68220297]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65785589], KGE = [0.59678443] and KGE_PRIME = [0.68088613]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65635264], KGE = [0.59424167] and KGE_PRIME = [0.67932238]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65479521], KGE = [0.59198918] and KGE_PRIME = [0.67789721]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65508371], KGE = [0.59078696] and KGE_PRIME = [0.67650819]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65550109], KGE = [0.58988139] and KGE_PRIME = [0.67564519]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65504026], KGE = [0.58848013] and KGE_PRIME = [0.67440469]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65504877], KGE = [0.58643525] and KGE_PRIME = [0.67344957]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65576436], KGE = [0.58515573] and KGE_PRIME = [0.67290415]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.66)
NSE = [0.65525037], KGE = [0.58422881] and KGE_PRIME = [0.67222913]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65483908], KGE = [0.58343917] and KGE_PRIME = [0.67128374]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65398399], KGE = [0.58231312] and KGE_PRIME = [0.66927543]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65327796], KGE = [0.58078896] and KGE_PRIME = [0.66849082]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65205032], KGE = [0.57900972] and KGE_PRIME = [0.66709732]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65214014], KGE = [0.57835518] and KGE_PRIME = [0.66656246]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65155621], KGE = [0.57729624] and KGE_PRIME = [0.66536392]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65008537], KGE = [0.57548142] and KGE_PRIME = [0.66407559]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64954205], KGE = [0.57421414] and KGE_PRIME = [0.66352998]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64907574], KGE = [0.57290745] and KGE_PRIME = [0.66299668]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.6483979], KGE = [0.57252753] and KGE_PRIME = [0.662141]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64751419], KGE = [0.57097109] and KGE_PRIME = [0.66118437]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64663218], KGE = [0.56997661] and KGE_PRIME = [0.65991546]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64517327], KGE = [0.56818686] and KGE_PRIME = [0.65833775]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64518315], KGE = [0.56755361] and KGE_PRIME = [0.65733402]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64557018], KGE = [0.56742781] and KGE_PRIME = [0.65702404]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64513373], KGE = [0.56602029] and KGE_PRIME = [0.65627129]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 520 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '520', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_520_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64500804], KGE = [0.56582441] and KGE_PRIME = [0.65576488]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.76, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.65, 0.34)
NSE = [0.33564933], KGE = [0.64554847] and KGE_PRIME = [0.64786389]
R score: 0.34 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.73, 0.51)
NSE = [0.51096527], KGE = [0.66862788] and KGE_PRIME = [0.70055757]
R score: 0.51 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57177305], KGE = [0.66189175] and KGE_PRIME = [0.71113274]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60093145], KGE = [0.6576673] and KGE_PRIME = [0.71653882]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62018907], KGE = [0.64952028] and KGE_PRIME = [0.71484739]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62819049], KGE = [0.64383753] and KGE_PRIME = [0.70855377]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63141395], KGE = [0.63611037] and KGE_PRIME = [0.7031125]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.6287129], KGE = [0.62294825] and KGE_PRIME = [0.69679996]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63313476], KGE = [0.62074881] and KGE_PRIME = [0.69505465]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.6344015], KGE = [0.61684626] and KGE_PRIME = [0.69348397]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63686971], KGE = [0.61434741] and KGE_PRIME = [0.69021889]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63808605], KGE = [0.61123962] and KGE_PRIME = [0.68777713]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63725361], KGE = [0.60758146] and KGE_PRIME = [0.68460853]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63776195], KGE = [0.60384686] and KGE_PRIME = [0.68215811]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63741966], KGE = [0.60106042] and KGE_PRIME = [0.67941635]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63742248], KGE = [0.59782457] and KGE_PRIME = [0.67786557]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63843246], KGE = [0.59753076] and KGE_PRIME = [0.67706288]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63776722], KGE = [0.59577923] and KGE_PRIME = [0.67457215]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63664341], KGE = [0.59171901] and KGE_PRIME = [0.67243968]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63787677], KGE = [0.59085837] and KGE_PRIME = [0.671522]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63814001], KGE = [0.58865883] and KGE_PRIME = [0.67018722]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63944879], KGE = [0.58671879] and KGE_PRIME = [0.66838683]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63794648], KGE = [0.58529938] and KGE_PRIME = [0.66529899]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63776189], KGE = [0.58299026] and KGE_PRIME = [0.66471545]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.6367871], KGE = [0.58040443] and KGE_PRIME = [0.66269709]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63632748], KGE = [0.57815618] and KGE_PRIME = [0.66118147]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63562681], KGE = [0.57607132] and KGE_PRIME = [0.6595167]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63638081], KGE = [0.57504362] and KGE_PRIME = [0.65888706]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63626634], KGE = [0.5738632] and KGE_PRIME = [0.65827788]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.6355583], KGE = [0.5709546] and KGE_PRIME = [0.65724119]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63557505], KGE = [0.56993069] and KGE_PRIME = [0.65718931]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63561542], KGE = [0.5691526] and KGE_PRIME = [0.65605888]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63508445], KGE = [0.5670436] and KGE_PRIME = [0.65513674]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63512326], KGE = [0.56615004] and KGE_PRIME = [0.65447403]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63419795], KGE = [0.5642118] and KGE_PRIME = [0.65344153]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63334802], KGE = [0.56199683] and KGE_PRIME = [0.65237066]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63292496], KGE = [0.56109784] and KGE_PRIME = [0.65233953]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63293583], KGE = [0.56094342] and KGE_PRIME = [0.65165977]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63170626], KGE = [0.55935561] and KGE_PRIME = [0.65021436]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63021928], KGE = [0.55751086] and KGE_PRIME = [0.64934985]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62941698], KGE = [0.55607701] and KGE_PRIME = [0.64805477]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62848195], KGE = [0.55557864] and KGE_PRIME = [0.64648176]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62861946], KGE = [0.55530722] and KGE_PRIME = [0.64540341]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62809433], KGE = [0.55478903] and KGE_PRIME = [0.64472741]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62724361], KGE = [0.55374886] and KGE_PRIME = [0.644335]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62605553], KGE = [0.55291307] and KGE_PRIME = [0.6428135]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62606907], KGE = [0.55242585] and KGE_PRIME = [0.64248189]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62626887], KGE = [0.55175404] and KGE_PRIME = [0.64248121]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 525 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '525', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_525_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62613309], KGE = [0.55121441] and KGE_PRIME = [0.64192729]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.75, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.66, 0.35)
NSE = [0.34588315], KGE = [0.64794109] and KGE_PRIME = [0.64839452]
R score: 0.35 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.5252081], KGE = [0.67125212] and KGE_PRIME = [0.70674301]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57407711], KGE = [0.65382812] and KGE_PRIME = [0.71041578]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60176512], KGE = [0.65231506] and KGE_PRIME = [0.7147865]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62157552], KGE = [0.65102458] and KGE_PRIME = [0.71322735]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62753547], KGE = [0.64174385] and KGE_PRIME = [0.70793696]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62701603], KGE = [0.63252348] and KGE_PRIME = [0.70105807]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63147275], KGE = [0.62817358] and KGE_PRIME = [0.70031704]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.63511574], KGE = [0.6232194] and KGE_PRIME = [0.69789325]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63701285], KGE = [0.62165872] and KGE_PRIME = [0.69692283]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.6384632], KGE = [0.61592014] and KGE_PRIME = [0.69433641]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64064086], KGE = [0.61353884] and KGE_PRIME = [0.69339304]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63945495], KGE = [0.60975379] and KGE_PRIME = [0.69076336]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64032159], KGE = [0.60630757] and KGE_PRIME = [0.68851445]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64204768], KGE = [0.6054217] and KGE_PRIME = [0.68779627]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64209344], KGE = [0.60223206] and KGE_PRIME = [0.68548445]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64279849], KGE = [0.6010811] and KGE_PRIME = [0.68364097]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64363539], KGE = [0.60055837] and KGE_PRIME = [0.6821483]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64262605], KGE = [0.59786907] and KGE_PRIME = [0.68061189]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64232179], KGE = [0.59514935] and KGE_PRIME = [0.67854149]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64324774], KGE = [0.59371361] and KGE_PRIME = [0.67731008]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64431741], KGE = [0.59336322] and KGE_PRIME = [0.67581903]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64484882], KGE = [0.59149257] and KGE_PRIME = [0.67530021]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64453384], KGE = [0.58981094] and KGE_PRIME = [0.67317278]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.6429409], KGE = [0.58640536] and KGE_PRIME = [0.67149469]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64281246], KGE = [0.58353782] and KGE_PRIME = [0.66992386]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64270161], KGE = [0.58154235] and KGE_PRIME = [0.66816263]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64265421], KGE = [0.57963129] and KGE_PRIME = [0.66708197]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64206546], KGE = [0.57768536] and KGE_PRIME = [0.66608389]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64180311], KGE = [0.57712351] and KGE_PRIME = [0.66459448]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64113081], KGE = [0.57586897] and KGE_PRIME = [0.66322737]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64123837], KGE = [0.57498346] and KGE_PRIME = [0.66226046]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64131983], KGE = [0.57395341] and KGE_PRIME = [0.66189171]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64149703], KGE = [0.57296127] and KGE_PRIME = [0.66184909]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64137853], KGE = [0.57186529] and KGE_PRIME = [0.66101593]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64054379], KGE = [0.57110065] and KGE_PRIME = [0.66006615]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63959852], KGE = [0.56960411] and KGE_PRIME = [0.65888929]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63888063], KGE = [0.56893886] and KGE_PRIME = [0.65820923]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63819611], KGE = [0.56831226] and KGE_PRIME = [0.65704397]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63680485], KGE = [0.56710567] and KGE_PRIME = [0.65535032]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.6361952], KGE = [0.56658845] and KGE_PRIME = [0.65449626]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63598945], KGE = [0.5656971] and KGE_PRIME = [0.6537122]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63568406], KGE = [0.56472304] and KGE_PRIME = [0.65313466]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63511407], KGE = [0.56404992] and KGE_PRIME = [0.65231996]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63428285], KGE = [0.56296876] and KGE_PRIME = [0.65165704]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63329685], KGE = [0.56090098] and KGE_PRIME = [0.65097618]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63310746], KGE = [0.55952358] and KGE_PRIME = [0.6507017]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63298971], KGE = [0.55836709] and KGE_PRIME = [0.65010485]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 530 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '530', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_530_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.632745], KGE = [0.55734442] and KGE_PRIME = [0.64968858]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.75, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.66, 0.35)
NSE = [0.35077938], KGE = [0.64652838] and KGE_PRIME = [0.64431409]
R score: 0.35 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.73, 0.52)
NSE = [0.52478], KGE = [0.67545615] and KGE_PRIME = [0.70862324]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57638776], KGE = [0.66147069] and KGE_PRIME = [0.71207193]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.77, 0.60)
NSE = [0.59507266], KGE = [0.64589015] and KGE_PRIME = [0.70878732]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61160005], KGE = [0.64214248] and KGE_PRIME = [0.70681904]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62054831], KGE = [0.63736537] and KGE_PRIME = [0.70414845]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62160638], KGE = [0.63111706] and KGE_PRIME = [0.69846522]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62841916], KGE = [0.6264383] and KGE_PRIME = [0.69694753]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.6304281], KGE = [0.6195166] and KGE_PRIME = [0.69452207]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63342244], KGE = [0.61445234] and KGE_PRIME = [0.69283936]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63776507], KGE = [0.61401239] and KGE_PRIME = [0.6932811]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63986861], KGE = [0.61259211] and KGE_PRIME = [0.69139058]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64094915], KGE = [0.61114214] and KGE_PRIME = [0.69028724]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63959331], KGE = [0.60860428] and KGE_PRIME = [0.68675048]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64173862], KGE = [0.60620895] and KGE_PRIME = [0.68452804]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64212084], KGE = [0.60394128] and KGE_PRIME = [0.68309486]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64291227], KGE = [0.60190035] and KGE_PRIME = [0.68194936]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64121603], KGE = [0.59943291] and KGE_PRIME = [0.67939846]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63983749], KGE = [0.59595373] and KGE_PRIME = [0.67698819]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64032821], KGE = [0.59448671] and KGE_PRIME = [0.67574709]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64229412], KGE = [0.59392503] and KGE_PRIME = [0.6754898]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64204856], KGE = [0.59137425] and KGE_PRIME = [0.67256653]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64255729], KGE = [0.59029804] and KGE_PRIME = [0.67132539]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64194064], KGE = [0.58758168] and KGE_PRIME = [0.66963511]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64078661], KGE = [0.58491295] and KGE_PRIME = [0.66758472]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64154643], KGE = [0.58275004] and KGE_PRIME = [0.66680753]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64077465], KGE = [0.58069254] and KGE_PRIME = [0.66553483]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64082109], KGE = [0.57906914] and KGE_PRIME = [0.6652641]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64031942], KGE = [0.5771183] and KGE_PRIME = [0.66407491]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64052714], KGE = [0.57545588] and KGE_PRIME = [0.66293983]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.64024519], KGE = [0.57398827] and KGE_PRIME = [0.66222022]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63941557], KGE = [0.57223227] and KGE_PRIME = [0.66085524]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63882762], KGE = [0.57115094] and KGE_PRIME = [0.65986869]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63845475], KGE = [0.56937623] and KGE_PRIME = [0.65908803]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.6380912], KGE = [0.56896363] and KGE_PRIME = [0.65854029]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63659569], KGE = [0.56703031] and KGE_PRIME = [0.65728698]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63636942], KGE = [0.56633736] and KGE_PRIME = [0.65633376]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.6359826], KGE = [0.56525944] and KGE_PRIME = [0.65569885]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63620056], KGE = [0.56373447] and KGE_PRIME = [0.65480836]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63567698], KGE = [0.56319957] and KGE_PRIME = [0.65418503]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.6352822], KGE = [0.56301316] and KGE_PRIME = [0.65338897]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63494106], KGE = [0.56216282] and KGE_PRIME = [0.65252578]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63441959], KGE = [0.56110691] and KGE_PRIME = [0.6518084]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63373515], KGE = [0.56056376] and KGE_PRIME = [0.65063683]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63299474], KGE = [0.5601019] and KGE_PRIME = [0.6499194]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63256168], KGE = [0.55913264] and KGE_PRIME = [0.64921401]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63217621], KGE = [0.55800935] and KGE_PRIME = [0.64837567]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63172946], KGE = [0.55667] and KGE_PRIME = [0.6477573]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 535 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '535', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_535_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63091884], KGE = [0.55515791] and KGE_PRIME = [0.64661775]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.75, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.66, 0.34)
NSE = [0.33788101], KGE = [0.64480349] and KGE_PRIME = [0.64488881]
R score: 0.34 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.73, 0.52)
NSE = [0.51592424], KGE = [0.66443268] and KGE_PRIME = [0.70064214]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.75, 0.57)
NSE = [0.56514847], KGE = [0.64876469] and KGE_PRIME = [0.7046261]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59412477], KGE = [0.64435852] and KGE_PRIME = [0.70692611]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.6099866], KGE = [0.63830983] and KGE_PRIME = [0.70564201]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61605597], KGE = [0.63135977] and KGE_PRIME = [0.70086287]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61750391], KGE = [0.62238399] and KGE_PRIME = [0.69523762]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.6217652], KGE = [0.61595063] and KGE_PRIME = [0.69137976]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62757557], KGE = [0.61336183] and KGE_PRIME = [0.69140131]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63116427], KGE = [0.60984746] and KGE_PRIME = [0.69096068]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63328341], KGE = [0.60623765] and KGE_PRIME = [0.6879229]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63451535], KGE = [0.60247967] and KGE_PRIME = [0.68738245]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63506101], KGE = [0.60265924] and KGE_PRIME = [0.68443552]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63595568], KGE = [0.59990806] and KGE_PRIME = [0.68183828]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63676268], KGE = [0.59996794] and KGE_PRIME = [0.68035899]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63571883], KGE = [0.59651035] and KGE_PRIME = [0.67755183]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63558178], KGE = [0.59410419] and KGE_PRIME = [0.67536184]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63643848], KGE = [0.59118191] and KGE_PRIME = [0.67361573]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63654818], KGE = [0.58875152] and KGE_PRIME = [0.67143198]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63822571], KGE = [0.58851762] and KGE_PRIME = [0.6703639]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63728539], KGE = [0.58417496] and KGE_PRIME = [0.6683552]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63840359], KGE = [0.58283433] and KGE_PRIME = [0.66797727]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63761962], KGE = [0.58041775] and KGE_PRIME = [0.66619731]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63537641], KGE = [0.57731032] and KGE_PRIME = [0.66323242]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.64)
NSE = [0.63502306], KGE = [0.57501012] and KGE_PRIME = [0.66147027]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63443144], KGE = [0.57290505] and KGE_PRIME = [0.66052937]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63442963], KGE = [0.57154022] and KGE_PRIME = [0.66026416]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63371024], KGE = [0.56927123] and KGE_PRIME = [0.6587442]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63276341], KGE = [0.56797664] and KGE_PRIME = [0.65729518]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63323741], KGE = [0.5663656] and KGE_PRIME = [0.65652154]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63260192], KGE = [0.56441773] and KGE_PRIME = [0.65613327]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.6322999], KGE = [0.56326788] and KGE_PRIME = [0.65489688]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63143846], KGE = [0.56207237] and KGE_PRIME = [0.65405221]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.6297022], KGE = [0.56019724] and KGE_PRIME = [0.65243692]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62865858], KGE = [0.55875577] and KGE_PRIME = [0.65109203]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.6291244], KGE = [0.55823691] and KGE_PRIME = [0.65038176]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62958685], KGE = [0.55781957] and KGE_PRIME = [0.64973458]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62903421], KGE = [0.55635173] and KGE_PRIME = [0.64867577]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.6279117], KGE = [0.55372708] and KGE_PRIME = [0.64679742]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62717393], KGE = [0.55234614] and KGE_PRIME = [0.6456146]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62725752], KGE = [0.55155298] and KGE_PRIME = [0.64525134]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62691832], KGE = [0.55022229] and KGE_PRIME = [0.64467408]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62634363], KGE = [0.5495421] and KGE_PRIME = [0.64407377]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62624475], KGE = [0.54828763] and KGE_PRIME = [0.64343386]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62627811], KGE = [0.5474749] and KGE_PRIME = [0.64293269]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62550332], KGE = [0.54686615] and KGE_PRIME = [0.64164978]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62518004], KGE = [0.54633155] and KGE_PRIME = [0.64110784]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62434972], KGE = [0.54520089] and KGE_PRIME = [0.64001909]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 540 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '540', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_540_winds_gradients_1D_tl3.nc
PCs loaded from file
29 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62389341], KGE = [0.54410651] and KGE_PRIME = [0.63904924]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.85, Relative - RMSE: 0.43
and Correlations (Pearson, Rscore): (0.59, 0.21)
NSE = [0.21422898], KGE = [0.58566806] and KGE_PRIME = [0.58475818]
R score: 0.21 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.73, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.66, 0.41)
NSE = [0.4130464], KGE = [0.62386728] and KGE_PRIME = [0.60659322]
R score: 0.41 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.69, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.70, 0.48)
NSE = [0.48241762], KGE = [0.62773258] and KGE_PRIME = [0.60541691]
R score: 0.48 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.67, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.72, 0.52)
NSE = [0.5187415], KGE = [0.62639474] and KGE_PRIME = [0.61092877]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.54)
NSE = [0.53963324], KGE = [0.62505099] and KGE_PRIME = [0.60468779]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.55374109], KGE = [0.62213809] and KGE_PRIME = [0.60659298]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.56182691], KGE = [0.61634953] and KGE_PRIME = [0.60165826]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.57)
NSE = [0.56529017], KGE = [0.61040082] and KGE_PRIME = [0.60249454]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56706974], KGE = [0.60589374] and KGE_PRIME = [0.59839644]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57012878], KGE = [0.60473607] and KGE_PRIME = [0.59711124]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57254327], KGE = [0.60176403] and KGE_PRIME = [0.60081737]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57347359], KGE = [0.59852415] and KGE_PRIME = [0.5981048]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57624799], KGE = [0.59711922] and KGE_PRIME = [0.59594648]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57919212], KGE = [0.59446048] and KGE_PRIME = [0.59484158]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57949119], KGE = [0.59161247] and KGE_PRIME = [0.59199459]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57941707], KGE = [0.58849024] and KGE_PRIME = [0.58996173]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57805661], KGE = [0.58520479] and KGE_PRIME = [0.58946873]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57798582], KGE = [0.58300658] and KGE_PRIME = [0.58770805]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57831847], KGE = [0.58094608] and KGE_PRIME = [0.58571191]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57877359], KGE = [0.57940935] and KGE_PRIME = [0.58452612]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57995678], KGE = [0.57761656] and KGE_PRIME = [0.58336815]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.5796991], KGE = [0.57515294] and KGE_PRIME = [0.58074884]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57911494], KGE = [0.57422915] and KGE_PRIME = [0.58123307]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57961869], KGE = [0.57387175] and KGE_PRIME = [0.58146667]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57825505], KGE = [0.57174537] and KGE_PRIME = [0.58028059]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57781665], KGE = [0.57034061] and KGE_PRIME = [0.57704415]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57796814], KGE = [0.5695024] and KGE_PRIME = [0.57579223]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57748781], KGE = [0.56777088] and KGE_PRIME = [0.57435538]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.5766702], KGE = [0.56624143] and KGE_PRIME = [0.57236316]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57627152], KGE = [0.56427324] and KGE_PRIME = [0.56898737]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57591399], KGE = [0.56258766] and KGE_PRIME = [0.56719478]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.57524268], KGE = [0.56136821] and KGE_PRIME = [0.56621645]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57497393], KGE = [0.56032591] and KGE_PRIME = [0.56470579]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57448652], KGE = [0.5591358] and KGE_PRIME = [0.56294589]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57392295], KGE = [0.55807005] and KGE_PRIME = [0.56166492]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57405593], KGE = [0.55698774] and KGE_PRIME = [0.56114064]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57451282], KGE = [0.55638803] and KGE_PRIME = [0.56141106]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57338163], KGE = [0.55478409] and KGE_PRIME = [0.5588491]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57336143], KGE = [0.55389078] and KGE_PRIME = [0.55809858]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57295459], KGE = [0.55315187] and KGE_PRIME = [0.5564981]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57239312], KGE = [0.55266105] and KGE_PRIME = [0.55601144]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57123237], KGE = [0.55136747] and KGE_PRIME = [0.55518626]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57077017], KGE = [0.5500913] and KGE_PRIME = [0.55417369]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57110731], KGE = [0.54924312] and KGE_PRIME = [0.55364615]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57068196], KGE = [0.54832963] and KGE_PRIME = [0.55286448]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57057057], KGE = [0.54749833] and KGE_PRIME = [0.55369834]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.57013328], KGE = [0.54643349] and KGE_PRIME = [0.55329844]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56906466], KGE = [0.54564698] and KGE_PRIME = [0.5527023]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 545 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '545', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_545_winds_gradients_1D_tl3.nc
PCs loaded from file
30 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.57)
NSE = [0.56836961], KGE = [0.54445311] and KGE_PRIME = [0.55121819]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.67, 0.36)
NSE = [0.36216447], KGE = [0.64644675] and KGE_PRIME = [0.64391568]
R score: 0.36 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.54099356], KGE = [0.67140224] and KGE_PRIME = [0.71147257]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58418822], KGE = [0.6560338] and KGE_PRIME = [0.71535007]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60648919], KGE = [0.64755093] and KGE_PRIME = [0.71397426]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61987524], KGE = [0.64179835] and KGE_PRIME = [0.71237575]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62864566], KGE = [0.63474228] and KGE_PRIME = [0.70788199]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63108246], KGE = [0.62882822] and KGE_PRIME = [0.70384391]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63489366], KGE = [0.62121075] and KGE_PRIME = [0.70092319]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64156301], KGE = [0.61635905] and KGE_PRIME = [0.70086758]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.64317809], KGE = [0.61364516] and KGE_PRIME = [0.69773778]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64563867], KGE = [0.61111755] and KGE_PRIME = [0.69623839]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64586444], KGE = [0.60745121] and KGE_PRIME = [0.6935728]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64790968], KGE = [0.60892262] and KGE_PRIME = [0.69361432]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64730942], KGE = [0.60709022] and KGE_PRIME = [0.69121414]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64747152], KGE = [0.60384319] and KGE_PRIME = [0.68858586]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.6469433], KGE = [0.60002686] and KGE_PRIME = [0.68595717]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64815307], KGE = [0.59850552] and KGE_PRIME = [0.68505274]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65000293], KGE = [0.59607906] and KGE_PRIME = [0.68396491]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.6496291], KGE = [0.59323506] and KGE_PRIME = [0.68083395]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.64978685], KGE = [0.59242081] and KGE_PRIME = [0.67947176]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64957076], KGE = [0.58866158] and KGE_PRIME = [0.67751229]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64897107], KGE = [0.58610239] and KGE_PRIME = [0.67608532]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64807254], KGE = [0.58307587] and KGE_PRIME = [0.6743557]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.647571], KGE = [0.5810691] and KGE_PRIME = [0.67314333]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64656748], KGE = [0.57917337] and KGE_PRIME = [0.67143432]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64636379], KGE = [0.57696944] and KGE_PRIME = [0.67021132]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.6455945], KGE = [0.57569368] and KGE_PRIME = [0.66863774]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.64441944], KGE = [0.57274405] and KGE_PRIME = [0.66793081]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.64363865], KGE = [0.57126052] and KGE_PRIME = [0.6671308]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.64358556], KGE = [0.56993437] and KGE_PRIME = [0.66647533]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.64313545], KGE = [0.56826372] and KGE_PRIME = [0.66494793]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.64375084], KGE = [0.56780088] and KGE_PRIME = [0.66467583]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.64319048], KGE = [0.56602799] and KGE_PRIME = [0.66293632]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.64204269], KGE = [0.56458556] and KGE_PRIME = [0.66146284]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.64131772], KGE = [0.56300652] and KGE_PRIME = [0.66057952]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.64032666], KGE = [0.561433] and KGE_PRIME = [0.65879913]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.63913266], KGE = [0.560103] and KGE_PRIME = [0.65771344]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.63889712], KGE = [0.55895175] and KGE_PRIME = [0.65643488]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.63839151], KGE = [0.55759821] and KGE_PRIME = [0.65516527]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.6378963], KGE = [0.5567175] and KGE_PRIME = [0.65466024]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.63713447], KGE = [0.55567157] and KGE_PRIME = [0.6537474]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.63727815], KGE = [0.55445236] and KGE_PRIME = [0.65336585]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.63735093], KGE = [0.5537239] and KGE_PRIME = [0.65316248]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.63736872], KGE = [0.55266204] and KGE_PRIME = [0.65258261]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.63684679], KGE = [0.55197017] and KGE_PRIME = [0.65189785]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.63593059], KGE = [0.55096722] and KGE_PRIME = [0.65080499]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.6359899], KGE = [0.55015155] and KGE_PRIME = [0.65010208]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.63569664], KGE = [0.54909951] and KGE_PRIME = [0.64920958]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 550 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '550', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_550_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.64)
NSE = [0.63560591], KGE = [0.5483187] and KGE_PRIME = [0.64877888]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.81, Relative - RMSE: 0.42
and Correlations (Pearson, Rscore): (0.63, 0.27)
NSE = [0.26932113], KGE = [0.61896283] and KGE_PRIME = [0.60969615]
R score: 0.27 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.70, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.46)
NSE = [0.4550677], KGE = [0.6587333] and KGE_PRIME = [0.63052026]
R score: 0.46 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.66, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.73, 0.52)
NSE = [0.52218389], KGE = [0.66662246] and KGE_PRIME = [0.64233551]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.57)
NSE = [0.56518908], KGE = [0.66625096] and KGE_PRIME = [0.63961268]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.58386968], KGE = [0.6615823] and KGE_PRIME = [0.6353893]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.60)
NSE = [0.59542677], KGE = [0.65895074] and KGE_PRIME = [0.63584078]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60039331], KGE = [0.65381234] and KGE_PRIME = [0.63455259]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60963802], KGE = [0.6536803] and KGE_PRIME = [0.64075104]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.6088934], KGE = [0.64727361] and KGE_PRIME = [0.6313139]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61512478], KGE = [0.64489612] and KGE_PRIME = [0.63373214]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61851965], KGE = [0.64393161] and KGE_PRIME = [0.63656014]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61887718], KGE = [0.64077579] and KGE_PRIME = [0.63526785]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62226571], KGE = [0.63922424] and KGE_PRIME = [0.63010049]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.6224229], KGE = [0.63481305] and KGE_PRIME = [0.62466923]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62273968], KGE = [0.63235948] and KGE_PRIME = [0.62557827]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.6225962], KGE = [0.62894749] and KGE_PRIME = [0.62397123]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62315916], KGE = [0.62647931] and KGE_PRIME = [0.62185894]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62272937], KGE = [0.62447131] and KGE_PRIME = [0.62134662]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.6235709], KGE = [0.6227419] and KGE_PRIME = [0.61874779]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62318774], KGE = [0.62168732] and KGE_PRIME = [0.61752825]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62365244], KGE = [0.62086949] and KGE_PRIME = [0.61768382]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62260522], KGE = [0.61776101] and KGE_PRIME = [0.61369238]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62203236], KGE = [0.61631411] and KGE_PRIME = [0.60979351]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62231846], KGE = [0.61634277] and KGE_PRIME = [0.61044307]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62211335], KGE = [0.6142619] and KGE_PRIME = [0.60903733]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62140011], KGE = [0.61217346] and KGE_PRIME = [0.60737961]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62178838], KGE = [0.6109697] and KGE_PRIME = [0.60640768]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62152506], KGE = [0.60978357] and KGE_PRIME = [0.60512646]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62177004], KGE = [0.60789212] and KGE_PRIME = [0.60396241]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62199441], KGE = [0.60681173] and KGE_PRIME = [0.60200309]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62104876], KGE = [0.60500438] and KGE_PRIME = [0.59999802]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62000024], KGE = [0.60325453] and KGE_PRIME = [0.59826028]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61997624], KGE = [0.60196763] and KGE_PRIME = [0.59828114]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62021617], KGE = [0.6012159] and KGE_PRIME = [0.59764467]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61965888], KGE = [0.60002677] and KGE_PRIME = [0.59532687]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61897599], KGE = [0.5985628] and KGE_PRIME = [0.59474057]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61880951], KGE = [0.59774221] and KGE_PRIME = [0.59339006]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61844751], KGE = [0.59705424] and KGE_PRIME = [0.59257719]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61872006], KGE = [0.59658304] and KGE_PRIME = [0.59159731]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61813215], KGE = [0.59583081] and KGE_PRIME = [0.59172576]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61738772], KGE = [0.59463033] and KGE_PRIME = [0.59179133]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61757614], KGE = [0.59432201] and KGE_PRIME = [0.59148201]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61706771], KGE = [0.59342333] and KGE_PRIME = [0.59000711]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61647428], KGE = [0.59228611] and KGE_PRIME = [0.58964738]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61686852], KGE = [0.5917153] and KGE_PRIME = [0.58995678]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61687504], KGE = [0.59084624] and KGE_PRIME = [0.5892977]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.6165171], KGE = [0.58931016] and KGE_PRIME = [0.58746919]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61631014], KGE = [0.58849803] and KGE_PRIME = [0.58634954]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 555 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '555', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_555_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.616005], KGE = [0.58770767] and KGE_PRIME = [0.58560333]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.76, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.65, 0.33)
NSE = [0.3336307], KGE = [0.62909226] and KGE_PRIME = [0.63053727]
R score: 0.33 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.73, 0.52)
NSE = [0.51608934], KGE = [0.6573959] and KGE_PRIME = [0.69667633]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57134098], KGE = [0.64855466] and KGE_PRIME = [0.70514243]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.77, 0.60)
NSE = [0.59513938], KGE = [0.63468348] and KGE_PRIME = [0.70405344]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60612392], KGE = [0.62214314] and KGE_PRIME = [0.69930951]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61574689], KGE = [0.61636982] and KGE_PRIME = [0.69720214]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62096511], KGE = [0.61570089] and KGE_PRIME = [0.69555786]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62389751], KGE = [0.61037853] and KGE_PRIME = [0.69275202]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62887665], KGE = [0.60709734] and KGE_PRIME = [0.69178793]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63378833], KGE = [0.60615134] and KGE_PRIME = [0.68989719]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63302814], KGE = [0.59897327] and KGE_PRIME = [0.68611526]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63215424], KGE = [0.59632785] and KGE_PRIME = [0.68423524]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.6294196], KGE = [0.58905523] and KGE_PRIME = [0.68051666]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63126603], KGE = [0.5858582] and KGE_PRIME = [0.67893834]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62989712], KGE = [0.5840264] and KGE_PRIME = [0.67641538]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63036073], KGE = [0.58198666] and KGE_PRIME = [0.67414673]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63137972], KGE = [0.58109656] and KGE_PRIME = [0.67245846]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63223465], KGE = [0.57935133] and KGE_PRIME = [0.67057474]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63330111], KGE = [0.57781958] and KGE_PRIME = [0.67030779]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63377176], KGE = [0.57758936] and KGE_PRIME = [0.6693118]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63189173], KGE = [0.57391224] and KGE_PRIME = [0.66704152]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63259924], KGE = [0.57243194] and KGE_PRIME = [0.66578981]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63124333], KGE = [0.56886468] and KGE_PRIME = [0.66368143]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63103257], KGE = [0.56642381] and KGE_PRIME = [0.66258754]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63058604], KGE = [0.56355659] and KGE_PRIME = [0.66121003]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.6308231], KGE = [0.56170019] and KGE_PRIME = [0.66080466]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63084804], KGE = [0.55950597] and KGE_PRIME = [0.65941324]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63113185], KGE = [0.5590856] and KGE_PRIME = [0.65874682]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63028924], KGE = [0.55710736] and KGE_PRIME = [0.65776345]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62819506], KGE = [0.55449305] and KGE_PRIME = [0.65565783]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62754705], KGE = [0.55370238] and KGE_PRIME = [0.65471996]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.6270991], KGE = [0.55178828] and KGE_PRIME = [0.65353545]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62722432], KGE = [0.55046508] and KGE_PRIME = [0.65288764]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62779077], KGE = [0.55019619] and KGE_PRIME = [0.65231529]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62727654], KGE = [0.54921578] and KGE_PRIME = [0.65123207]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62722067], KGE = [0.54826789] and KGE_PRIME = [0.65013321]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62542817], KGE = [0.54541439] and KGE_PRIME = [0.64821826]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62524728], KGE = [0.5435865] and KGE_PRIME = [0.64758775]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62502366], KGE = [0.54210942] and KGE_PRIME = [0.64690657]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62431212], KGE = [0.54053579] and KGE_PRIME = [0.64574703]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62372472], KGE = [0.53868873] and KGE_PRIME = [0.64498401]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62331263], KGE = [0.53862921] and KGE_PRIME = [0.64415571]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62280607], KGE = [0.53708647] and KGE_PRIME = [0.64351922]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.6230034], KGE = [0.53625935] and KGE_PRIME = [0.64316097]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62209376], KGE = [0.53483911] and KGE_PRIME = [0.64213238]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62192279], KGE = [0.53348505] and KGE_PRIME = [0.64126359]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62147938], KGE = [0.53253488] and KGE_PRIME = [0.64033832]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62091416], KGE = [0.53175146] and KGE_PRIME = [0.63971902]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 560 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '560', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_560_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.61991626], KGE = [0.53040205] and KGE_PRIME = [0.638455]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.79, Relative - RMSE: 0.41
and Correlations (Pearson, Rscore): (0.64, 0.30)
NSE = [0.30399542], KGE = [0.63551094] and KGE_PRIME = [0.63321998]
R score: 0.3 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.69, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.71, 0.47)
NSE = [0.4738021], KGE = [0.67083754] and KGE_PRIME = [0.64670704]
R score: 0.47 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.53)
NSE = [0.5346226], KGE = [0.67382245] and KGE_PRIME = [0.64926864]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57069125], KGE = [0.66938151] and KGE_PRIME = [0.65046513]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.60)
NSE = [0.59540437], KGE = [0.67130621] and KGE_PRIME = [0.66412458]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60823444], KGE = [0.66872552] and KGE_PRIME = [0.66895017]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61387984], KGE = [0.66288588] and KGE_PRIME = [0.66290019]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62134408], KGE = [0.66083986] and KGE_PRIME = [0.65876244]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62287573], KGE = [0.65432861] and KGE_PRIME = [0.65170694]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62704185], KGE = [0.65210951] and KGE_PRIME = [0.64892203]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63180678], KGE = [0.6491379] and KGE_PRIME = [0.64541586]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63212224], KGE = [0.64546547] and KGE_PRIME = [0.64277665]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63302992], KGE = [0.64275443] and KGE_PRIME = [0.64260127]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.6339889], KGE = [0.64094434] and KGE_PRIME = [0.64197376]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63646794], KGE = [0.63988066] and KGE_PRIME = [0.64139046]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63730473], KGE = [0.63794495] and KGE_PRIME = [0.63844674]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63710014], KGE = [0.63532735] and KGE_PRIME = [0.63770106]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63722886], KGE = [0.63353144] and KGE_PRIME = [0.63559474]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63665223], KGE = [0.63052986] and KGE_PRIME = [0.63220958]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63755479], KGE = [0.62917484] and KGE_PRIME = [0.63023823]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63709984], KGE = [0.62658045] and KGE_PRIME = [0.6289786]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63684152], KGE = [0.62530298] and KGE_PRIME = [0.6276583]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63619566], KGE = [0.62457262] and KGE_PRIME = [0.62888777]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63655531], KGE = [0.62246165] and KGE_PRIME = [0.62918603]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63653352], KGE = [0.62088518] and KGE_PRIME = [0.62676886]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.6364855], KGE = [0.62002766] and KGE_PRIME = [0.62597471]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63608584], KGE = [0.61825787] and KGE_PRIME = [0.62379577]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63626965], KGE = [0.61714771] and KGE_PRIME = [0.62304092]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63626009], KGE = [0.61590124] and KGE_PRIME = [0.62160145]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63669897], KGE = [0.61501813] and KGE_PRIME = [0.6214181]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63686787], KGE = [0.61399456] and KGE_PRIME = [0.62057664]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63680134], KGE = [0.61311004] and KGE_PRIME = [0.61973529]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63629563], KGE = [0.61171014] and KGE_PRIME = [0.61821396]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63536807], KGE = [0.61072667] and KGE_PRIME = [0.61739203]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63457671], KGE = [0.60887167] and KGE_PRIME = [0.61610213]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63359455], KGE = [0.60751656] and KGE_PRIME = [0.61407741]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63348396], KGE = [0.60672958] and KGE_PRIME = [0.61320456]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63318703], KGE = [0.60569218] and KGE_PRIME = [0.61272591]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63270123], KGE = [0.60423804] and KGE_PRIME = [0.61097305]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.632033], KGE = [0.6032148] and KGE_PRIME = [0.61002953]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63129208], KGE = [0.60181943] and KGE_PRIME = [0.60888288]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63102225], KGE = [0.60076785] and KGE_PRIME = [0.6072456]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63040228], KGE = [0.59966635] and KGE_PRIME = [0.60555509]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63065831], KGE = [0.59895878] and KGE_PRIME = [0.60573032]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.6301031], KGE = [0.59768135] and KGE_PRIME = [0.60464493]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63028491], KGE = [0.59697378] and KGE_PRIME = [0.60508862]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62981406], KGE = [0.59577273] and KGE_PRIME = [0.60386944]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62979596], KGE = [0.59475372] and KGE_PRIME = [0.60427177]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 565 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '565', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_565_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62958428], KGE = [0.59413091] and KGE_PRIME = [0.60340589]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.81, Relative - RMSE: 0.42
and Correlations (Pearson, Rscore): (0.62, 0.27)
NSE = [0.27167217], KGE = [0.61577415] and KGE_PRIME = [0.61525733]
R score: 0.27 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.71, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.69, 0.44)
NSE = [0.44260351], KGE = [0.65125364] and KGE_PRIME = [0.62567543]
R score: 0.44 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.67, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.72, 0.50)
NSE = [0.50295191], KGE = [0.65311084] and KGE_PRIME = [0.62964197]
R score: 0.5 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.54668405], KGE = [0.65164055] and KGE_PRIME = [0.63603454]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.57)
NSE = [0.56713338], KGE = [0.65116851] and KGE_PRIME = [0.64741374]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.58218838], KGE = [0.6486752] and KGE_PRIME = [0.64682304]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58752975], KGE = [0.64177951] and KGE_PRIME = [0.64255511]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59304532], KGE = [0.63915904] and KGE_PRIME = [0.63393004]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59961708], KGE = [0.63628702] and KGE_PRIME = [0.63221581]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60052312], KGE = [0.63288115] and KGE_PRIME = [0.63200964]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.6044707], KGE = [0.62926243] and KGE_PRIME = [0.62559746]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.6047689], KGE = [0.62534745] and KGE_PRIME = [0.62230367]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60559715], KGE = [0.62351268] and KGE_PRIME = [0.62186093]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60755464], KGE = [0.62168495] and KGE_PRIME = [0.62177421]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.6091445], KGE = [0.61994878] and KGE_PRIME = [0.62150945]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61064806], KGE = [0.61738114] and KGE_PRIME = [0.6184273]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.6110237], KGE = [0.61572584] and KGE_PRIME = [0.61828077]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61279779], KGE = [0.6149147] and KGE_PRIME = [0.61865208]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61122731], KGE = [0.61199089] and KGE_PRIME = [0.61300917]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61140567], KGE = [0.61013491] and KGE_PRIME = [0.61010278]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61120604], KGE = [0.60767269] and KGE_PRIME = [0.60891313]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61096102], KGE = [0.60642864] and KGE_PRIME = [0.6086595]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61072059], KGE = [0.60503883] and KGE_PRIME = [0.60923355]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61003971], KGE = [0.60288115] and KGE_PRIME = [0.60917283]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60874221], KGE = [0.60100982] and KGE_PRIME = [0.60780494]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60951936], KGE = [0.60037374] and KGE_PRIME = [0.60748099]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60950051], KGE = [0.59883558] and KGE_PRIME = [0.60502595]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60940741], KGE = [0.59732108] and KGE_PRIME = [0.60463959]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60988329], KGE = [0.59658125] and KGE_PRIME = [0.60200458]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60844236], KGE = [0.59431466] and KGE_PRIME = [0.60086957]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60889778], KGE = [0.5938174] and KGE_PRIME = [0.60091166]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60844283], KGE = [0.59293307] and KGE_PRIME = [0.60082671]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60944377], KGE = [0.59249351] and KGE_PRIME = [0.59960703]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60828315], KGE = [0.5904887] and KGE_PRIME = [0.59784383]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60818233], KGE = [0.58935904] and KGE_PRIME = [0.59636374]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60714867], KGE = [0.5873006] and KGE_PRIME = [0.59647008]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60650945], KGE = [0.58655646] and KGE_PRIME = [0.59388574]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60622616], KGE = [0.58529517] and KGE_PRIME = [0.59219422]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60556924], KGE = [0.58384032] and KGE_PRIME = [0.59095095]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60542356], KGE = [0.58310201] and KGE_PRIME = [0.59069555]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60567422], KGE = [0.58262611] and KGE_PRIME = [0.59014798]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60482156], KGE = [0.58150908] and KGE_PRIME = [0.58938622]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60453779], KGE = [0.58055537] and KGE_PRIME = [0.58881257]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.6045013], KGE = [0.57990755] and KGE_PRIME = [0.58841045]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60385794], KGE = [0.57893029] and KGE_PRIME = [0.58723868]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.6035593], KGE = [0.57788511] and KGE_PRIME = [0.58617529]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60283236], KGE = [0.5766586] and KGE_PRIME = [0.58545619]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60300354], KGE = [0.57563019] and KGE_PRIME = [0.58543061]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 570 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '570', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_570_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60306034], KGE = [0.57473263] and KGE_PRIME = [0.58518688]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.77, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.66, 0.34)
NSE = [0.33906145], KGE = [0.65928797] and KGE_PRIME = [0.66001794]
R score: 0.34 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.67, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.72, 0.50)
NSE = [0.50313472], KGE = [0.69527208] and KGE_PRIME = [0.6886231]
R score: 0.5 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.57)
NSE = [0.56524299], KGE = [0.69663347] and KGE_PRIME = [0.68590907]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.77, 0.60)
NSE = [0.59949747], KGE = [0.69691525] and KGE_PRIME = [0.69109134]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61731439], KGE = [0.68910356] and KGE_PRIME = [0.68920812]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.63)
NSE = [0.62738148], KGE = [0.68384245] and KGE_PRIME = [0.6818216]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63418392], KGE = [0.67790279] and KGE_PRIME = [0.68043891]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64063472], KGE = [0.6728473] and KGE_PRIME = [0.67383314]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64589374], KGE = [0.66990374] and KGE_PRIME = [0.66998674]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64941799], KGE = [0.66623234] and KGE_PRIME = [0.66555384]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65119215], KGE = [0.66438606] and KGE_PRIME = [0.66123167]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65470062], KGE = [0.66198139] and KGE_PRIME = [0.66157094]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.6523012], KGE = [0.6575657] and KGE_PRIME = [0.65681223]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65301963], KGE = [0.65479787] and KGE_PRIME = [0.6562246]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65459882], KGE = [0.65230005] and KGE_PRIME = [0.65635667]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65702176], KGE = [0.65034741] and KGE_PRIME = [0.65347734]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65820418], KGE = [0.64798056] and KGE_PRIME = [0.65379553]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65811731], KGE = [0.64618311] and KGE_PRIME = [0.65326838]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65732015], KGE = [0.64413934] and KGE_PRIME = [0.65098214]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65754175], KGE = [0.64254133] and KGE_PRIME = [0.64822108]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65689982], KGE = [0.64071338] and KGE_PRIME = [0.64758544]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65675838], KGE = [0.63818925] and KGE_PRIME = [0.64625413]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65643477], KGE = [0.63651133] and KGE_PRIME = [0.64334608]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65616333], KGE = [0.63514178] and KGE_PRIME = [0.64347767]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65549098], KGE = [0.63356236] and KGE_PRIME = [0.63938746]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65521611], KGE = [0.63183472] and KGE_PRIME = [0.6392341]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65556943], KGE = [0.63064051] and KGE_PRIME = [0.64000019]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65595782], KGE = [0.62965369] and KGE_PRIME = [0.63800641]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65538661], KGE = [0.62859541] and KGE_PRIME = [0.63694617]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.65515267], KGE = [0.62772287] and KGE_PRIME = [0.63503926]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65475011], KGE = [0.62635115] and KGE_PRIME = [0.63364214]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65361592], KGE = [0.62464277] and KGE_PRIME = [0.63203102]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65311764], KGE = [0.62300755] and KGE_PRIME = [0.63145876]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65326924], KGE = [0.62195809] and KGE_PRIME = [0.6310659]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65370351], KGE = [0.62132289] and KGE_PRIME = [0.63058024]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65325181], KGE = [0.61988831] and KGE_PRIME = [0.62949354]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65343371], KGE = [0.619148] and KGE_PRIME = [0.63057896]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65287468], KGE = [0.61781322] and KGE_PRIME = [0.62888033]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65206657], KGE = [0.61611161] and KGE_PRIME = [0.62791691]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65162495], KGE = [0.61524395] and KGE_PRIME = [0.62724054]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.6508903], KGE = [0.61369034] and KGE_PRIME = [0.62652781]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65050098], KGE = [0.6126196] and KGE_PRIME = [0.62537334]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65007083], KGE = [0.6112848] and KGE_PRIME = [0.62516509]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65007511], KGE = [0.61038267] and KGE_PRIME = [0.62413258]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.65)
NSE = [0.65065528], KGE = [0.61005842] and KGE_PRIME = [0.62411447]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.65063134], KGE = [0.60952601] and KGE_PRIME = [0.62324262]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.6503323], KGE = [0.60847193] and KGE_PRIME = [0.62198262]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64996727], KGE = [0.60699381] and KGE_PRIME = [0.62041807]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 575 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '575', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_575_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.83, 0.65)
NSE = [0.64965334], KGE = [0.60617579] and KGE_PRIME = [0.6206049]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.79, Relative - RMSE: 0.41
and Correlations (Pearson, Rscore): (0.64, 0.29)
NSE = [0.29455781], KGE = [0.63479469] and KGE_PRIME = [0.63586042]
R score: 0.29 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.69, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.47)
NSE = [0.46627993], KGE = [0.67403916] and KGE_PRIME = [0.66877316]
R score: 0.47 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.53301971], KGE = [0.6762637] and KGE_PRIME = [0.66422775]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56991484], KGE = [0.67521352] and KGE_PRIME = [0.66980216]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58713014], KGE = [0.66960833] and KGE_PRIME = [0.66915452]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60159281], KGE = [0.66264773] and KGE_PRIME = [0.65834621]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60771062], KGE = [0.65781438] and KGE_PRIME = [0.6581583]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61397341], KGE = [0.65410826] and KGE_PRIME = [0.65722293]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61973741], KGE = [0.6514805] and KGE_PRIME = [0.65250684]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62358443], KGE = [0.64699917] and KGE_PRIME = [0.64662947]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62519167], KGE = [0.64474076] and KGE_PRIME = [0.64172393]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62809946], KGE = [0.64203734] and KGE_PRIME = [0.64064193]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62768307], KGE = [0.63973908] and KGE_PRIME = [0.63942968]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62821479], KGE = [0.63632593] and KGE_PRIME = [0.63711898]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62860156], KGE = [0.63348569] and KGE_PRIME = [0.63730919]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63154202], KGE = [0.63185503] and KGE_PRIME = [0.63492722]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.6332587], KGE = [0.63004058] and KGE_PRIME = [0.63622008]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63284443], KGE = [0.6274476] and KGE_PRIME = [0.63405793]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63088837], KGE = [0.62405821] and KGE_PRIME = [0.63063022]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63162304], KGE = [0.62293808] and KGE_PRIME = [0.63049973]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63250992], KGE = [0.62148199] and KGE_PRIME = [0.62924087]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63050389], KGE = [0.61873036] and KGE_PRIME = [0.62718135]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63125985], KGE = [0.61811722] and KGE_PRIME = [0.62632261]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63017116], KGE = [0.61690595] and KGE_PRIME = [0.62476421]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63077863], KGE = [0.61511232] and KGE_PRIME = [0.62213199]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63178533], KGE = [0.61491253] and KGE_PRIME = [0.62256372]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63099588], KGE = [0.61267408] and KGE_PRIME = [0.6210731]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63129], KGE = [0.61170953] and KGE_PRIME = [0.62052788]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63113334], KGE = [0.61086835] and KGE_PRIME = [0.61903127]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63105934], KGE = [0.61040089] and KGE_PRIME = [0.61855219]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63153551], KGE = [0.60910337] and KGE_PRIME = [0.61682213]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63037059], KGE = [0.607292] and KGE_PRIME = [0.6140511]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.6291525], KGE = [0.60562993] and KGE_PRIME = [0.61313431]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62907712], KGE = [0.60448775] and KGE_PRIME = [0.61336189]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62935564], KGE = [0.60384771] and KGE_PRIME = [0.61308405]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.6295347], KGE = [0.60294609] and KGE_PRIME = [0.61200818]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62916916], KGE = [0.60169601] and KGE_PRIME = [0.61159646]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62853971], KGE = [0.60002752] and KGE_PRIME = [0.61078123]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62843564], KGE = [0.59911975] and KGE_PRIME = [0.61079538]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62758869], KGE = [0.59810996] and KGE_PRIME = [0.60958669]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62701714], KGE = [0.59678347] and KGE_PRIME = [0.60893177]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62643385], KGE = [0.59537361] and KGE_PRIME = [0.60812235]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62665595], KGE = [0.5945628] and KGE_PRIME = [0.60692812]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62660036], KGE = [0.59352323] and KGE_PRIME = [0.60635088]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62605466], KGE = [0.59236453] and KGE_PRIME = [0.60533927]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62574876], KGE = [0.591052] and KGE_PRIME = [0.60395367]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62575552], KGE = [0.59079044] and KGE_PRIME = [0.60437352]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62558077], KGE = [0.59017346] and KGE_PRIME = [0.60416657]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 580 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '580', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_580_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62567771], KGE = [0.58952191] and KGE_PRIME = [0.60348045]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.79, Relative - RMSE: 0.40
and Correlations (Pearson, Rscore): (0.65, 0.30)
NSE = [0.30383509], KGE = [0.6449754] and KGE_PRIME = [0.64401856]
R score: 0.3 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.68, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.71, 0.49)
NSE = [0.48546169], KGE = [0.68406971] and KGE_PRIME = [0.66977642]
R score: 0.49 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.54844052], KGE = [0.68134663] and KGE_PRIME = [0.65734951]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57999825], KGE = [0.67937836] and KGE_PRIME = [0.66182219]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59377408], KGE = [0.67385919] and KGE_PRIME = [0.66409957]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60885596], KGE = [0.6693577] and KGE_PRIME = [0.65690272]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.61388268], KGE = [0.66494785] and KGE_PRIME = [0.65246229]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62038974], KGE = [0.66145709] and KGE_PRIME = [0.65672476]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62374884], KGE = [0.65598823] and KGE_PRIME = [0.6498472]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62488118], KGE = [0.65193176] and KGE_PRIME = [0.64448134]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62839894], KGE = [0.64801935] and KGE_PRIME = [0.64302614]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62900735], KGE = [0.64480422] and KGE_PRIME = [0.63947892]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62996096], KGE = [0.64037682] and KGE_PRIME = [0.63828993]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63255608], KGE = [0.63782563] and KGE_PRIME = [0.6376531]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63209634], KGE = [0.63440878] and KGE_PRIME = [0.63511885]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63242765], KGE = [0.63207057] and KGE_PRIME = [0.63249904]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63263344], KGE = [0.62950768] and KGE_PRIME = [0.63171501]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.63315757], KGE = [0.62834761] and KGE_PRIME = [0.63009262]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.6342035], KGE = [0.62687666] and KGE_PRIME = [0.62830042]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63531675], KGE = [0.62621696] and KGE_PRIME = [0.62694503]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63451888], KGE = [0.62475177] and KGE_PRIME = [0.62659763]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63459851], KGE = [0.6232174] and KGE_PRIME = [0.62861801]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.64)
NSE = [0.63513038], KGE = [0.62179478] and KGE_PRIME = [0.62612159]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63403761], KGE = [0.61980807] and KGE_PRIME = [0.62329315]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63398619], KGE = [0.61873576] and KGE_PRIME = [0.62365752]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63340694], KGE = [0.61735574] and KGE_PRIME = [0.62222236]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63437684], KGE = [0.61700268] and KGE_PRIME = [0.62129737]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63417716], KGE = [0.61522574] and KGE_PRIME = [0.62007927]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63420858], KGE = [0.61391952] and KGE_PRIME = [0.62011577]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.6340363], KGE = [0.61249436] and KGE_PRIME = [0.61964625]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63329041], KGE = [0.61101386] and KGE_PRIME = [0.61789392]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63392744], KGE = [0.61014237] and KGE_PRIME = [0.61703238]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63372002], KGE = [0.60910382] and KGE_PRIME = [0.61642805]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63268306], KGE = [0.60732446] and KGE_PRIME = [0.61525329]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63141296], KGE = [0.60532159] and KGE_PRIME = [0.61357071]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63147512], KGE = [0.60446199] and KGE_PRIME = [0.61268511]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63172024], KGE = [0.60400619] and KGE_PRIME = [0.61242133]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63157922], KGE = [0.60265043] and KGE_PRIME = [0.61145364]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63147309], KGE = [0.60184998] and KGE_PRIME = [0.61039044]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63134973], KGE = [0.60064497] and KGE_PRIME = [0.60908256]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63105334], KGE = [0.59897514] and KGE_PRIME = [0.60879278]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63101674], KGE = [0.59836124] and KGE_PRIME = [0.6073937]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63102809], KGE = [0.59742611] and KGE_PRIME = [0.60620229]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63135559], KGE = [0.59722186] and KGE_PRIME = [0.60595321]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63118672], KGE = [0.59625766] and KGE_PRIME = [0.60588046]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63111022], KGE = [0.5953925] and KGE_PRIME = [0.6050316]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63108394], KGE = [0.59498387] and KGE_PRIME = [0.60409783]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63070837], KGE = [0.59407154] and KGE_PRIME = [0.60388795]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 585 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '585', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_585_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63000084], KGE = [0.59286226] and KGE_PRIME = [0.60373343]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.81, Relative - RMSE: 0.42
and Correlations (Pearson, Rscore): (0.63, 0.27)
NSE = [0.27482345], KGE = [0.62967102] and KGE_PRIME = [0.62854917]
R score: 0.27 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.69, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.70, 0.47)
NSE = [0.46658474], KGE = [0.67037869] and KGE_PRIME = [0.65536635]
R score: 0.47 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.65, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.5292387], KGE = [0.66420026] and KGE_PRIME = [0.64466841]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55801406], KGE = [0.66466963] and KGE_PRIME = [0.64935831]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.5738088], KGE = [0.65652577] and KGE_PRIME = [0.64025331]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58534114], KGE = [0.65181062] and KGE_PRIME = [0.63932763]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59386389], KGE = [0.64660431] and KGE_PRIME = [0.63694231]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60040423], KGE = [0.64250833] and KGE_PRIME = [0.63515304]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60193366], KGE = [0.63759476] and KGE_PRIME = [0.63447935]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60773176], KGE = [0.63597936] and KGE_PRIME = [0.63067852]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61181141], KGE = [0.6344365] and KGE_PRIME = [0.63163744]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61347246], KGE = [0.63214311] and KGE_PRIME = [0.62942029]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61500555], KGE = [0.62882589] and KGE_PRIME = [0.62645398]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61607588], KGE = [0.62638988] and KGE_PRIME = [0.62495201]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61525324], KGE = [0.62226745] and KGE_PRIME = [0.6232987]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61622362], KGE = [0.62052322] and KGE_PRIME = [0.62039162]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61555497], KGE = [0.61739841] and KGE_PRIME = [0.61938486]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61585237], KGE = [0.61446384] and KGE_PRIME = [0.61478985]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61650837], KGE = [0.61310035] and KGE_PRIME = [0.61344901]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61758835], KGE = [0.61159348] and KGE_PRIME = [0.61267073]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61708154], KGE = [0.60962696] and KGE_PRIME = [0.61236706]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61754775], KGE = [0.60821912] and KGE_PRIME = [0.61266983]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61856183], KGE = [0.60755761] and KGE_PRIME = [0.61159276]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61863208], KGE = [0.60589952] and KGE_PRIME = [0.6093475]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61868583], KGE = [0.60489325] and KGE_PRIME = [0.60883981]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61722916], KGE = [0.60326406] and KGE_PRIME = [0.6077549]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61661396], KGE = [0.60197101] and KGE_PRIME = [0.60638239]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61642142], KGE = [0.60082521] and KGE_PRIME = [0.60456785]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61599223], KGE = [0.59943702] and KGE_PRIME = [0.60398567]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61684255], KGE = [0.59921248] and KGE_PRIME = [0.60516922]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61619827], KGE = [0.59764506] and KGE_PRIME = [0.60350536]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61559242], KGE = [0.59616599] and KGE_PRIME = [0.60107409]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.6151301], KGE = [0.59464246] and KGE_PRIME = [0.60006482]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61500264], KGE = [0.59365484] and KGE_PRIME = [0.59918563]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61553054], KGE = [0.59278488] and KGE_PRIME = [0.59881412]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61593817], KGE = [0.59198038] and KGE_PRIME = [0.60023596]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61633774], KGE = [0.59107038] and KGE_PRIME = [0.59962698]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61652336], KGE = [0.59003391] and KGE_PRIME = [0.5996041]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61592417], KGE = [0.58851115] and KGE_PRIME = [0.59924583]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61582278], KGE = [0.58778403] and KGE_PRIME = [0.59898361]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61550918], KGE = [0.58675953] and KGE_PRIME = [0.59756758]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61515179], KGE = [0.58535968] and KGE_PRIME = [0.59680384]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61509772], KGE = [0.58472742] and KGE_PRIME = [0.59529569]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61455312], KGE = [0.58329623] and KGE_PRIME = [0.59274196]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61433806], KGE = [0.58247979] and KGE_PRIME = [0.59163443]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61425248], KGE = [0.58143574] and KGE_PRIME = [0.59086222]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61484881], KGE = [0.58108006] and KGE_PRIME = [0.59095127]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61440711], KGE = [0.57992534] and KGE_PRIME = [0.58949603]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 590 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '590', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_590_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61410471], KGE = [0.57888617] and KGE_PRIME = [0.58892593]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.74, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.66, 0.35)
NSE = [0.35383804], KGE = [0.63133795] and KGE_PRIME = [0.62687442]
R score: 0.35 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.73, 0.51)
NSE = [0.51218196], KGE = [0.65631756] and KGE_PRIME = [0.69520748]
R score: 0.51 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56688886], KGE = [0.64712809] and KGE_PRIME = [0.7052311]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58834234], KGE = [0.63290038] and KGE_PRIME = [0.7032075]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60016673], KGE = [0.62769122] and KGE_PRIME = [0.70073524]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61351954], KGE = [0.62213739] and KGE_PRIME = [0.70064251]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.6187723], KGE = [0.61625624] and KGE_PRIME = [0.6963901]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62470099], KGE = [0.61440313] and KGE_PRIME = [0.69556515]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62495851], KGE = [0.60867616] and KGE_PRIME = [0.69004815]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62698914], KGE = [0.60736858] and KGE_PRIME = [0.68753216]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62970569], KGE = [0.60503086] and KGE_PRIME = [0.68630162]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63160574], KGE = [0.60087997] and KGE_PRIME = [0.68533367]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62950845], KGE = [0.59443313] and KGE_PRIME = [0.68219939]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.6311678], KGE = [0.59331979] and KGE_PRIME = [0.67992799]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63104461], KGE = [0.59016756] and KGE_PRIME = [0.67680926]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63117384], KGE = [0.58712324] and KGE_PRIME = [0.67524387]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63080553], KGE = [0.58637081] and KGE_PRIME = [0.67350839]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63115924], KGE = [0.58435458] and KGE_PRIME = [0.67212958]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63158379], KGE = [0.58182424] and KGE_PRIME = [0.67066559]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63112262], KGE = [0.57925138] and KGE_PRIME = [0.66790786]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63008284], KGE = [0.57714547] and KGE_PRIME = [0.66688412]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62903342], KGE = [0.57533206] and KGE_PRIME = [0.66577275]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62872601], KGE = [0.57179925] and KGE_PRIME = [0.66450495]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62912668], KGE = [0.57034264] and KGE_PRIME = [0.66386817]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62852071], KGE = [0.56849434] and KGE_PRIME = [0.66211537]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62853393], KGE = [0.56562836] and KGE_PRIME = [0.66078113]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.628696], KGE = [0.56503383] and KGE_PRIME = [0.66028987]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62775024], KGE = [0.56204411] and KGE_PRIME = [0.65883038]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62805507], KGE = [0.56085627] and KGE_PRIME = [0.65797099]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.6271771], KGE = [0.55876659] and KGE_PRIME = [0.656512]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62711265], KGE = [0.55741123] and KGE_PRIME = [0.6558814]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.6263844], KGE = [0.55482245] and KGE_PRIME = [0.65419119]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62536306], KGE = [0.55305127] and KGE_PRIME = [0.6524013]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62482677], KGE = [0.55163146] and KGE_PRIME = [0.65113736]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62506434], KGE = [0.55013782] and KGE_PRIME = [0.65022055]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62512516], KGE = [0.54922453] and KGE_PRIME = [0.64970288]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62487825], KGE = [0.5475719] and KGE_PRIME = [0.64933484]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62408987], KGE = [0.54573103] and KGE_PRIME = [0.64805873]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62341572], KGE = [0.54377245] and KGE_PRIME = [0.64668216]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62345077], KGE = [0.54303895] and KGE_PRIME = [0.64600588]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62187288], KGE = [0.541536] and KGE_PRIME = [0.64473256]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62217238], KGE = [0.54162252] and KGE_PRIME = [0.64411708]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62136015], KGE = [0.54047273] and KGE_PRIME = [0.64318421]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62098996], KGE = [0.5389331] and KGE_PRIME = [0.64245707]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.61972973], KGE = [0.53739693] and KGE_PRIME = [0.64147182]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.61961615], KGE = [0.53683611] and KGE_PRIME = [0.64077267]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.61858861], KGE = [0.53550109] and KGE_PRIME = [0.63963147]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.61841357], KGE = [0.53473915] and KGE_PRIME = [0.63938589]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 595 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '595', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_595_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.61866576], KGE = [0.53453803] and KGE_PRIME = [0.6389185]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.75, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.66, 0.35)
NSE = [0.35311797], KGE = [0.62869063] and KGE_PRIME = [0.62441561]
R score: 0.35 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.73, 0.51)
NSE = [0.51276394], KGE = [0.65504408] and KGE_PRIME = [0.6946807]
R score: 0.51 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56703797], KGE = [0.64868737] and KGE_PRIME = [0.70501448]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59028851], KGE = [0.63380889] and KGE_PRIME = [0.70296183]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60466115], KGE = [0.62815532] and KGE_PRIME = [0.70205856]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61399154], KGE = [0.62226077] and KGE_PRIME = [0.69929886]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61979328], KGE = [0.61882407] and KGE_PRIME = [0.6955401]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62465171], KGE = [0.61575476] and KGE_PRIME = [0.69557571]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62799695], KGE = [0.60959423] and KGE_PRIME = [0.69008465]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62861476], KGE = [0.60584483] and KGE_PRIME = [0.68598694]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.63)
NSE = [0.62910948], KGE = [0.60245747] and KGE_PRIME = [0.68476559]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.6318707], KGE = [0.59962929] and KGE_PRIME = [0.68337797]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63206352], KGE = [0.59552053] and KGE_PRIME = [0.68123034]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63287822], KGE = [0.59265552] and KGE_PRIME = [0.67910177]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63275314], KGE = [0.58859411] and KGE_PRIME = [0.67641028]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63308119], KGE = [0.58758944] and KGE_PRIME = [0.67510895]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63237098], KGE = [0.58725834] and KGE_PRIME = [0.67366068]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63177777], KGE = [0.58453647] and KGE_PRIME = [0.67147462]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63339117], KGE = [0.58248265] and KGE_PRIME = [0.67026679]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63255424], KGE = [0.57970889] and KGE_PRIME = [0.66788086]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63218424], KGE = [0.57689808] and KGE_PRIME = [0.66713935]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63037667], KGE = [0.57390628] and KGE_PRIME = [0.66482555]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63080254], KGE = [0.57167691] and KGE_PRIME = [0.6643043]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63061767], KGE = [0.56931513] and KGE_PRIME = [0.66251389]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.63062545], KGE = [0.56787434] and KGE_PRIME = [0.66161501]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.63078391], KGE = [0.56675333] and KGE_PRIME = [0.66106035]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.63)
NSE = [0.62931593], KGE = [0.56409219] and KGE_PRIME = [0.65915256]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62945304], KGE = [0.56193667] and KGE_PRIME = [0.65788377]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62966177], KGE = [0.56050497] and KGE_PRIME = [0.65741067]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62916857], KGE = [0.5591967] and KGE_PRIME = [0.65681724]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62925155], KGE = [0.55786864] and KGE_PRIME = [0.65584414]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62786471], KGE = [0.55565353] and KGE_PRIME = [0.65344532]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62684205], KGE = [0.55364378] and KGE_PRIME = [0.65150549]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62753171], KGE = [0.55206207] and KGE_PRIME = [0.65095812]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62691715], KGE = [0.55005852] and KGE_PRIME = [0.65013984]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62697336], KGE = [0.54884753] and KGE_PRIME = [0.6492636]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62615668], KGE = [0.54700937] and KGE_PRIME = [0.64823805]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.625603], KGE = [0.54556261] and KGE_PRIME = [0.64738617]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.63)
NSE = [0.62512847], KGE = [0.54392604] and KGE_PRIME = [0.64624774]
R score: 0.63 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62478109], KGE = [0.54318572] and KGE_PRIME = [0.6452454]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62385135], KGE = [0.54189548] and KGE_PRIME = [0.64408424]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62395915], KGE = [0.54181035] and KGE_PRIME = [0.64344094]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62299437], KGE = [0.54051792] and KGE_PRIME = [0.64278854]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62286345], KGE = [0.53987427] and KGE_PRIME = [0.64250753]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62247256], KGE = [0.53852723] and KGE_PRIME = [0.64161606]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62149771], KGE = [0.53689323] and KGE_PRIME = [0.64032822]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62084615], KGE = [0.53599432] and KGE_PRIME = [0.63965491]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.62052865], KGE = [0.53505299] and KGE_PRIME = [0.63882357]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 600 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '600', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_600_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.62)
NSE = [0.61996297], KGE = [0.53443278] and KGE_PRIME = [0.63792647]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.82, Relative - RMSE: 0.43
and Correlations (Pearson, Rscore): (0.61, 0.24)
NSE = [0.24178676], KGE = [0.60372814] and KGE_PRIME = [0.60244231]
R score: 0.24 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.70, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.69, 0.45)
NSE = [0.45123663], KGE = [0.65709199] and KGE_PRIME = [0.65229524]
R score: 0.45 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.66, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.72, 0.52)
NSE = [0.51985655], KGE = [0.64822914] and KGE_PRIME = [0.63191092]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.55374712], KGE = [0.65241777] and KGE_PRIME = [0.64270135]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57069978], KGE = [0.64550986] and KGE_PRIME = [0.63198172]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57995919], KGE = [0.63803597] and KGE_PRIME = [0.62663341]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58492878], KGE = [0.63368525] and KGE_PRIME = [0.62760984]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.5904758], KGE = [0.62855417] and KGE_PRIME = [0.62484224]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59178603], KGE = [0.62299177] and KGE_PRIME = [0.62051668]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59809848], KGE = [0.62047425] and KGE_PRIME = [0.61590039]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59964862], KGE = [0.61678098] and KGE_PRIME = [0.61193713]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60004565], KGE = [0.61243366] and KGE_PRIME = [0.61084991]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60382267], KGE = [0.60999505] and KGE_PRIME = [0.60842585]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60423546], KGE = [0.60743492] and KGE_PRIME = [0.60950554]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60312759], KGE = [0.60391097] and KGE_PRIME = [0.60664863]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60222296], KGE = [0.60038405] and KGE_PRIME = [0.60489977]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60440931], KGE = [0.6001149] and KGE_PRIME = [0.60501846]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60350445], KGE = [0.59692711] and KGE_PRIME = [0.60149948]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60399183], KGE = [0.59496401] and KGE_PRIME = [0.59817024]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60326438], KGE = [0.59303991] and KGE_PRIME = [0.59679826]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60350265], KGE = [0.59129521] and KGE_PRIME = [0.59610068]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60341492], KGE = [0.58941689] and KGE_PRIME = [0.59482867]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60382615], KGE = [0.58826952] and KGE_PRIME = [0.59433675]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60408904], KGE = [0.58784281] and KGE_PRIME = [0.59572681]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60336524], KGE = [0.58554076] and KGE_PRIME = [0.59449439]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.6020332], KGE = [0.58330178] and KGE_PRIME = [0.59347406]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60302388], KGE = [0.58224179] and KGE_PRIME = [0.5931517]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.6039854], KGE = [0.58105739] and KGE_PRIME = [0.59221122]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60429971], KGE = [0.57996484] and KGE_PRIME = [0.5919873]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60427138], KGE = [0.57828983] and KGE_PRIME = [0.59112389]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.604311], KGE = [0.57749068] and KGE_PRIME = [0.59032658]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60358491], KGE = [0.57644064] and KGE_PRIME = [0.58973562]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60276246], KGE = [0.57457638] and KGE_PRIME = [0.58727647]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60308316], KGE = [0.57360018] and KGE_PRIME = [0.58580267]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60305866], KGE = [0.5722926] and KGE_PRIME = [0.5855466]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60284078], KGE = [0.57083456] and KGE_PRIME = [0.58486009]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60298967], KGE = [0.57053765] and KGE_PRIME = [0.5845566]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60293607], KGE = [0.56922102] and KGE_PRIME = [0.58362075]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60250837], KGE = [0.56886348] and KGE_PRIME = [0.58329807]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60305179], KGE = [0.56880276] and KGE_PRIME = [0.582131]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60306443], KGE = [0.56809318] and KGE_PRIME = [0.58187026]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60328939], KGE = [0.56756261] and KGE_PRIME = [0.58215081]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60243646], KGE = [0.56663435] and KGE_PRIME = [0.58128347]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60233014], KGE = [0.56556048] and KGE_PRIME = [0.58105674]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60260774], KGE = [0.56478698] and KGE_PRIME = [0.58219497]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60254593], KGE = [0.56432559] and KGE_PRIME = [0.58069677]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60246959], KGE = [0.56327497] and KGE_PRIME = [0.58061818]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60212795], KGE = [0.56269092] and KGE_PRIME = [0.57885167]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 605 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '605', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_605_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60225689], KGE = [0.5620114] and KGE_PRIME = [0.57856052]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.83, Relative - RMSE: 0.43
and Correlations (Pearson, Rscore): (0.60, 0.23)
NSE = [0.23499078], KGE = [0.60084795] and KGE_PRIME = [0.60244799]
R score: 0.23 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.38
and Correlations (Pearson, Rscore): (0.67, 0.42)
NSE = [0.42159601], KGE = [0.63343316] and KGE_PRIME = [0.63528472]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.66, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.72, 0.51)
NSE = [0.51242296], KGE = [0.64906577] and KGE_PRIME = [0.64349873]
R score: 0.51 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.54922487], KGE = [0.64459229] and KGE_PRIME = [0.63767591]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.56182448], KGE = [0.63610572] and KGE_PRIME = [0.62670171]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.62, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.75, 0.57)
NSE = [0.568473], KGE = [0.63110154] and KGE_PRIME = [0.6291549]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58279463], KGE = [0.62833231] and KGE_PRIME = [0.62532678]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.5828496], KGE = [0.62141825] and KGE_PRIME = [0.62162934]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58790851], KGE = [0.61787252] and KGE_PRIME = [0.61969766]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58954934], KGE = [0.61442728] and KGE_PRIME = [0.61817495]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59166619], KGE = [0.61061859] and KGE_PRIME = [0.61808557]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59327811], KGE = [0.60669467] and KGE_PRIME = [0.61440037]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59353423], KGE = [0.60357145] and KGE_PRIME = [0.61319718]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59439187], KGE = [0.59948448] and KGE_PRIME = [0.60921935]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59655867], KGE = [0.59749673] and KGE_PRIME = [0.60520533]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59815676], KGE = [0.59691136] and KGE_PRIME = [0.60319711]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59706145], KGE = [0.59386619] and KGE_PRIME = [0.60058487]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59886672], KGE = [0.59201089] and KGE_PRIME = [0.59978542]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59804087], KGE = [0.58940102] and KGE_PRIME = [0.59852661]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59963506], KGE = [0.58835275] and KGE_PRIME = [0.59856825]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60062714], KGE = [0.58687746] and KGE_PRIME = [0.59770613]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59987527], KGE = [0.58414736] and KGE_PRIME = [0.59619851]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59857738], KGE = [0.58121596] and KGE_PRIME = [0.59406161]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59811016], KGE = [0.57989433] and KGE_PRIME = [0.59353264]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59830639], KGE = [0.5786403] and KGE_PRIME = [0.59254731]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.5978993], KGE = [0.57611619] and KGE_PRIME = [0.59182362]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59642172], KGE = [0.57426412] and KGE_PRIME = [0.59043833]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.5966019], KGE = [0.57319591] and KGE_PRIME = [0.5895882]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.5963761], KGE = [0.571586] and KGE_PRIME = [0.58895148]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.5969881], KGE = [0.57109905] and KGE_PRIME = [0.58867667]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59823378], KGE = [0.57107533] and KGE_PRIME = [0.58886589]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59847764], KGE = [0.57022661] and KGE_PRIME = [0.58786922]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59892172], KGE = [0.56989704] and KGE_PRIME = [0.58724978]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59830456], KGE = [0.56849978] and KGE_PRIME = [0.58637995]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59747841], KGE = [0.56738348] and KGE_PRIME = [0.58565164]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59770059], KGE = [0.56664294] and KGE_PRIME = [0.58603748]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59775697], KGE = [0.5657666] and KGE_PRIME = [0.58581217]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59750424], KGE = [0.56456754] and KGE_PRIME = [0.5856353]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59809335], KGE = [0.5640866] and KGE_PRIME = [0.58584385]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59811954], KGE = [0.56300708] and KGE_PRIME = [0.58489535]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59694038], KGE = [0.56093197] and KGE_PRIME = [0.58369944]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59700196], KGE = [0.56030145] and KGE_PRIME = [0.58300993]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59644002], KGE = [0.55928009] and KGE_PRIME = [0.58127871]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59628644], KGE = [0.5578659] and KGE_PRIME = [0.57941137]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59513201], KGE = [0.55601445] and KGE_PRIME = [0.57812532]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59460996], KGE = [0.55496207] and KGE_PRIME = [0.57694399]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59411749], KGE = [0.55433754] and KGE_PRIME = [0.57633355]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59453286], KGE = [0.55413658] and KGE_PRIME = [0.57580659]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 610 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '610', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_610_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59393459], KGE = [0.55307623] and KGE_PRIME = [0.57527451]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.82, Relative - RMSE: 0.43
and Correlations (Pearson, Rscore): (0.61, 0.25)
NSE = [0.24803376], KGE = [0.60662959] and KGE_PRIME = [0.60704939]
R score: 0.25 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.44)
NSE = [0.43913556], KGE = [0.64587289] and KGE_PRIME = [0.65013747]
R score: 0.44 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.65, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.5283834], KGE = [0.66108395] and KGE_PRIME = [0.65675333]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55541236], KGE = [0.65252544] and KGE_PRIME = [0.64409401]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57494141], KGE = [0.64764316] and KGE_PRIME = [0.63853633]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.58061152], KGE = [0.64055219] and KGE_PRIME = [0.63724085]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59113992], KGE = [0.63604613] and KGE_PRIME = [0.63244212]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59437135], KGE = [0.63096023] and KGE_PRIME = [0.62610619]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59695027], KGE = [0.62794609] and KGE_PRIME = [0.63019121]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59922097], KGE = [0.62426762] and KGE_PRIME = [0.62782352]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60098899], KGE = [0.62061259] and KGE_PRIME = [0.62692339]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60172049], KGE = [0.61519173] and KGE_PRIME = [0.62345252]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60191809], KGE = [0.61179972] and KGE_PRIME = [0.619917]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60381426], KGE = [0.60904597] and KGE_PRIME = [0.61637873]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60662822], KGE = [0.60781945] and KGE_PRIME = [0.61365518]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60747547], KGE = [0.60563347] and KGE_PRIME = [0.61147586]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60680097], KGE = [0.60325172] and KGE_PRIME = [0.60896457]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60801325], KGE = [0.60153684] and KGE_PRIME = [0.60943421]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60957177], KGE = [0.59978419] and KGE_PRIME = [0.60738058]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60964582], KGE = [0.59762541] and KGE_PRIME = [0.60747748]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60961424], KGE = [0.59503892] and KGE_PRIME = [0.60621705]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60974441], KGE = [0.59335701] and KGE_PRIME = [0.60450809]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60931649], KGE = [0.59085898] and KGE_PRIME = [0.6031036]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60835574], KGE = [0.58952512] and KGE_PRIME = [0.6021553]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60822995], KGE = [0.58806489] and KGE_PRIME = [0.60150895]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60716529], KGE = [0.58558995] and KGE_PRIME = [0.60096765]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60697889], KGE = [0.58412166] and KGE_PRIME = [0.59924581]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60613054], KGE = [0.58209521] and KGE_PRIME = [0.59727224]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60579079], KGE = [0.5807073] and KGE_PRIME = [0.59747751]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60712585], KGE = [0.58058153] and KGE_PRIME = [0.59790907]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60789785], KGE = [0.58050049] and KGE_PRIME = [0.59684479]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60820294], KGE = [0.5800998] and KGE_PRIME = [0.59686151]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60798489], KGE = [0.57877277] and KGE_PRIME = [0.59614482]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60769284], KGE = [0.57786653] and KGE_PRIME = [0.59532194]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60823913], KGE = [0.57707966] and KGE_PRIME = [0.5948338]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60790292], KGE = [0.57624805] and KGE_PRIME = [0.59396981]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60779704], KGE = [0.57498148] and KGE_PRIME = [0.59341725]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60729166], KGE = [0.57368625] and KGE_PRIME = [0.59177398]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60667162], KGE = [0.57266838] and KGE_PRIME = [0.59193063]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60710636], KGE = [0.57169311] and KGE_PRIME = [0.59151289]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60682432], KGE = [0.57074496] and KGE_PRIME = [0.59089872]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60672268], KGE = [0.56970051] and KGE_PRIME = [0.59000808]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60657138], KGE = [0.56878083] and KGE_PRIME = [0.58794246]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60604771], KGE = [0.56751029] and KGE_PRIME = [0.587063]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60514538], KGE = [0.56577206] and KGE_PRIME = [0.58660955]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60459838], KGE = [0.56506896] and KGE_PRIME = [0.58521279]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60420335], KGE = [0.56418564] and KGE_PRIME = [0.58451065]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60407827], KGE = [0.56350513] and KGE_PRIME = [0.58428393]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 615 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '615', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_615_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60408565], KGE = [0.56308128] and KGE_PRIME = [0.58385219]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.82, Relative - RMSE: 0.43
and Correlations (Pearson, Rscore): (0.61, 0.25)
NSE = [0.25087701], KGE = [0.60309224] and KGE_PRIME = [0.60398131]
R score: 0.25 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.68, 0.44)
NSE = [0.43603254], KGE = [0.64072096] and KGE_PRIME = [0.64715945]
R score: 0.44 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.66, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.72, 0.52)
NSE = [0.51817496], KGE = [0.6499555] and KGE_PRIME = [0.65282311]
R score: 0.52 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.55)
NSE = [0.54806184], KGE = [0.64257853] and KGE_PRIME = [0.6398173]
R score: 0.55 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.57)
NSE = [0.5679858], KGE = [0.6400204] and KGE_PRIME = [0.63256827]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57460261], KGE = [0.63220838] and KGE_PRIME = [0.63003502]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58377457], KGE = [0.62672913] and KGE_PRIME = [0.62524085]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58654078], KGE = [0.62145941] and KGE_PRIME = [0.61625573]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59049768], KGE = [0.61927411] and KGE_PRIME = [0.62035013]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59415641], KGE = [0.61582911] and KGE_PRIME = [0.62238254]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59524146], KGE = [0.61107464] and KGE_PRIME = [0.62196714]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59448287], KGE = [0.60664869] and KGE_PRIME = [0.61695411]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59385523], KGE = [0.60313651] and KGE_PRIME = [0.60978316]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59717695], KGE = [0.60080855] and KGE_PRIME = [0.6093105]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59834184], KGE = [0.59914323] and KGE_PRIME = [0.6084311]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59991119], KGE = [0.59663812] and KGE_PRIME = [0.60313834]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60156803], KGE = [0.59542281] and KGE_PRIME = [0.60258885]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60289792], KGE = [0.59305872] and KGE_PRIME = [0.60084532]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60253225], KGE = [0.59155847] and KGE_PRIME = [0.60100273]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.602458], KGE = [0.58928604] and KGE_PRIME = [0.60016122]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60295154], KGE = [0.58671008] and KGE_PRIME = [0.5989149]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60258883], KGE = [0.58484798] and KGE_PRIME = [0.59716808]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60129387], KGE = [0.5824224] and KGE_PRIME = [0.59472137]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60021089], KGE = [0.58070689] and KGE_PRIME = [0.59310897]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59907514], KGE = [0.57807365] and KGE_PRIME = [0.59171707]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59829845], KGE = [0.57608591] and KGE_PRIME = [0.59209299]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59799593], KGE = [0.57386388] and KGE_PRIME = [0.59122262]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59934825], KGE = [0.57345154] and KGE_PRIME = [0.59185674]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59931716], KGE = [0.57209598] and KGE_PRIME = [0.59061243]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59953025], KGE = [0.57145158] and KGE_PRIME = [0.59096927]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60017938], KGE = [0.57072184] and KGE_PRIME = [0.58969194]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60045583], KGE = [0.57049559] and KGE_PRIME = [0.58901442]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59984935], KGE = [0.56930172] and KGE_PRIME = [0.58821177]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.6005513], KGE = [0.56880315] and KGE_PRIME = [0.58841424]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60003876], KGE = [0.56743127] and KGE_PRIME = [0.58721461]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.60030163], KGE = [0.56682129] and KGE_PRIME = [0.58644307]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59998006], KGE = [0.56529334] and KGE_PRIME = [0.58540568]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59976651], KGE = [0.56458192] and KGE_PRIME = [0.58447558]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59968342], KGE = [0.56356195] and KGE_PRIME = [0.5839316]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.60)
NSE = [0.59910597], KGE = [0.56278642] and KGE_PRIME = [0.58323133]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.59951194], KGE = [0.56209316] and KGE_PRIME = [0.58269592]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.599084], KGE = [0.56086179] and KGE_PRIME = [0.58200643]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.59858534], KGE = [0.55966316] and KGE_PRIME = [0.58066051]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.59782267], KGE = [0.55805939] and KGE_PRIME = [0.57905094]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.59818341], KGE = [0.55737019] and KGE_PRIME = [0.57856292]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.59758385], KGE = [0.55600719] and KGE_PRIME = [0.57813303]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.59725062], KGE = [0.55505635] and KGE_PRIME = [0.57697662]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.59672771], KGE = [0.55424432] and KGE_PRIME = [0.57657223]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 620 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '620', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_620_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.59655195], KGE = [0.55377421] and KGE_PRIME = [0.57621748]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.76, Relative - RMSE: 0.39
and Correlations (Pearson, Rscore): (0.65, 0.33)
NSE = [0.33216619], KGE = [0.61378846] and KGE_PRIME = [0.60760958]
R score: 0.33 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.66, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.71, 0.50)
NSE = [0.49523696], KGE = [0.63815336] and KGE_PRIME = [0.68022092]
R score: 0.5 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.54183578], KGE = [0.62311646] and KGE_PRIME = [0.68561813]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57192771], KGE = [0.61845318] and KGE_PRIME = [0.69003133]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58870609], KGE = [0.61279617] and KGE_PRIME = [0.69038055]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59961119], KGE = [0.61404316] and KGE_PRIME = [0.69029868]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60682464], KGE = [0.60868865] and KGE_PRIME = [0.6889064]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61003101], KGE = [0.60510535] and KGE_PRIME = [0.68560274]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61216705], KGE = [0.5997087] and KGE_PRIME = [0.68159165]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.6143482], KGE = [0.59848333] and KGE_PRIME = [0.67881299]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61576505], KGE = [0.5949661] and KGE_PRIME = [0.67596]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61729038], KGE = [0.59019397] and KGE_PRIME = [0.67302411]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61576284], KGE = [0.58530489] and KGE_PRIME = [0.66990442]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61637303], KGE = [0.57975475] and KGE_PRIME = [0.66687143]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.6152586], KGE = [0.5774406] and KGE_PRIME = [0.66506416]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61497039], KGE = [0.57422515] and KGE_PRIME = [0.66323141]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61565687], KGE = [0.57263057] and KGE_PRIME = [0.66111973]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61567826], KGE = [0.57088044] and KGE_PRIME = [0.65943766]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61516259], KGE = [0.56718929] and KGE_PRIME = [0.65681342]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61519401], KGE = [0.56420423] and KGE_PRIME = [0.65568426]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61506076], KGE = [0.56121062] and KGE_PRIME = [0.65395967]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61631261], KGE = [0.56116263] and KGE_PRIME = [0.65275122]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61617189], KGE = [0.55884698] and KGE_PRIME = [0.65130412]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61607561], KGE = [0.55717811] and KGE_PRIME = [0.65041571]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61628932], KGE = [0.55586212] and KGE_PRIME = [0.64958145]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61607136], KGE = [0.55427999] and KGE_PRIME = [0.64832408]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61561447], KGE = [0.5520925] and KGE_PRIME = [0.64686555]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61502638], KGE = [0.55000447] and KGE_PRIME = [0.64593776]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61376881], KGE = [0.54768681] and KGE_PRIME = [0.64447853]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61274901], KGE = [0.54589329] and KGE_PRIME = [0.64294095]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.6125349], KGE = [0.544345] and KGE_PRIME = [0.64173673]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61283826], KGE = [0.54337525] and KGE_PRIME = [0.64103875]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61096645], KGE = [0.5408398] and KGE_PRIME = [0.6391304]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61160327], KGE = [0.53973676] and KGE_PRIME = [0.63877397]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61074106], KGE = [0.53844934] and KGE_PRIME = [0.63780136]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61087681], KGE = [0.53702068] and KGE_PRIME = [0.63701187]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61049439], KGE = [0.53625096] and KGE_PRIME = [0.63623138]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61001616], KGE = [0.53474325] and KGE_PRIME = [0.63525175]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.60881529], KGE = [0.53256982] and KGE_PRIME = [0.63403787]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.60755769], KGE = [0.53085133] and KGE_PRIME = [0.63304067]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.60681839], KGE = [0.52913926] and KGE_PRIME = [0.63177169]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.60585229], KGE = [0.52843517] and KGE_PRIME = [0.63089561]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.60)
NSE = [0.60485385], KGE = [0.52690286] and KGE_PRIME = [0.62989691]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.60)
NSE = [0.60471593], KGE = [0.52588744] and KGE_PRIME = [0.62911282]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.60)
NSE = [0.60477051], KGE = [0.52488687] and KGE_PRIME = [0.62866348]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.60)
NSE = [0.60490036], KGE = [0.52370123] and KGE_PRIME = [0.6281286]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.60)
NSE = [0.60420922], KGE = [0.52259515] and KGE_PRIME = [0.62724944]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.60)
NSE = [0.60402908], KGE = [0.52181945] and KGE_PRIME = [0.62671148]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 625 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '625', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_625_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.60)
NSE = [0.60400312], KGE = [0.52015592] and KGE_PRIME = [0.62599578]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.83, Relative - RMSE: 0.43
and Correlations (Pearson, Rscore): (0.60, 0.24)
NSE = [0.23916286], KGE = [0.59388742] and KGE_PRIME = [0.5966576]
R score: 0.24 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.67, 0.43)
NSE = [0.4273913], KGE = [0.63212603] and KGE_PRIME = [0.64056921]
R score: 0.43 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.66, Relative - RMSE: 0.34
and Correlations (Pearson, Rscore): (0.72, 0.51)
NSE = [0.51234479], KGE = [0.64220364] and KGE_PRIME = [0.64739934]
R score: 0.51 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.54)
NSE = [0.53938354], KGE = [0.63307323] and KGE_PRIME = [0.63274756]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: -0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.56031088], KGE = [0.62955519] and KGE_PRIME = [0.62604454]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.57)
NSE = [0.5667439], KGE = [0.62198506] and KGE_PRIME = [0.62395457]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57557409], KGE = [0.61617092] and KGE_PRIME = [0.61800254]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57814654], KGE = [0.61240566] and KGE_PRIME = [0.61248561]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58296665], KGE = [0.60871319] and KGE_PRIME = [0.61449127]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58726874], KGE = [0.60568293] and KGE_PRIME = [0.61571421]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.5871249], KGE = [0.60004874] and KGE_PRIME = [0.61328167]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58749056], KGE = [0.59612356] and KGE_PRIME = [0.60776377]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58601324], KGE = [0.59245111] and KGE_PRIME = [0.60503404]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58743691], KGE = [0.58983323] and KGE_PRIME = [0.60103845]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58976694], KGE = [0.58885638] and KGE_PRIME = [0.5992288]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59183258], KGE = [0.58679594] and KGE_PRIME = [0.59537212]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59297914], KGE = [0.58427719] and KGE_PRIME = [0.5938766]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59413699], KGE = [0.5824491] and KGE_PRIME = [0.59326878]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59399168], KGE = [0.58023169] and KGE_PRIME = [0.59172898]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59460008], KGE = [0.57823845] and KGE_PRIME = [0.59196141]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59289516], KGE = [0.57500322] and KGE_PRIME = [0.58937105]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59327848], KGE = [0.57316426] and KGE_PRIME = [0.58843384]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59167821], KGE = [0.57057279] and KGE_PRIME = [0.58588522]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59136008], KGE = [0.56929058] and KGE_PRIME = [0.5845233]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.5903459], KGE = [0.56699809] and KGE_PRIME = [0.5838631]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59031311], KGE = [0.5654218] and KGE_PRIME = [0.58343721]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58982849], KGE = [0.56391265] and KGE_PRIME = [0.58103166]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59050476], KGE = [0.56285514] and KGE_PRIME = [0.58276419]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59078162], KGE = [0.56178643] and KGE_PRIME = [0.58249389]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59107804], KGE = [0.560807] and KGE_PRIME = [0.58251668]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59045878], KGE = [0.56008411] and KGE_PRIME = [0.58138857]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59125398], KGE = [0.55921091] and KGE_PRIME = [0.58062795]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59168866], KGE = [0.55899234] and KGE_PRIME = [0.58053802]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59196347], KGE = [0.55791714] and KGE_PRIME = [0.58069695]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59169763], KGE = [0.55718554] and KGE_PRIME = [0.57919898]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59194879], KGE = [0.55612932] and KGE_PRIME = [0.57814536]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59245968], KGE = [0.55536426] and KGE_PRIME = [0.57889025]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59161048], KGE = [0.55350254] and KGE_PRIME = [0.57666631]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59174091], KGE = [0.55295913] and KGE_PRIME = [0.57614369]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59063407], KGE = [0.55193642] and KGE_PRIME = [0.57456941]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59036033], KGE = [0.55095302] and KGE_PRIME = [0.5745705]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59005456], KGE = [0.54977208] and KGE_PRIME = [0.57398552]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.589349], KGE = [0.54845737] and KGE_PRIME = [0.57256861]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58968219], KGE = [0.54759809] and KGE_PRIME = [0.57237698]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58929259], KGE = [0.54615705] and KGE_PRIME = [0.5715324]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58859748], KGE = [0.54476974] and KGE_PRIME = [0.57008474]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58861028], KGE = [0.54422041] and KGE_PRIME = [0.56938967]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58854831], KGE = [0.5439476] and KGE_PRIME = [0.56844004]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 630 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '630', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_630_winds_gradients_1D_tl3.nc
PCs loaded from file
26 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58836535], KGE = [0.54304399] and KGE_PRIME = [0.56865655]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.71, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.69, 0.42)
NSE = [0.42024222], KGE = [0.68424481] and KGE_PRIME = [0.68918258]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56859868], KGE = [0.71747437] and KGE_PRIME = [0.72550231]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.6230219], KGE = [0.71908853] and KGE_PRIME = [0.7198082]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.65177719], KGE = [0.71447553] and KGE_PRIME = [0.72320412]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66873289], KGE = [0.70826754] and KGE_PRIME = [0.71701446]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67963423], KGE = [0.70336989] and KGE_PRIME = [0.70839732]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68197956], KGE = [0.69500746] and KGE_PRIME = [0.69975033]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.69)
NSE = [0.68785515], KGE = [0.69174763] and KGE_PRIME = [0.69924436]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6920344], KGE = [0.68693105] and KGE_PRIME = [0.69527391]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69358091], KGE = [0.6833896] and KGE_PRIME = [0.69471768]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.84, 0.70)
NSE = [0.69671592], KGE = [0.67845161] and KGE_PRIME = [0.69159806]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69790482], KGE = [0.6754995] and KGE_PRIME = [0.68931811]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69887683], KGE = [0.67256452] and KGE_PRIME = [0.68698864]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69941189], KGE = [0.67051731] and KGE_PRIME = [0.68574549]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69845687], KGE = [0.66713454] and KGE_PRIME = [0.67920081]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69942244], KGE = [0.66549443] and KGE_PRIME = [0.67846921]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70000008], KGE = [0.66350744] and KGE_PRIME = [0.67654517]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69879602], KGE = [0.65965802] and KGE_PRIME = [0.67588372]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69944351], KGE = [0.65761349] and KGE_PRIME = [0.67462985]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69984776], KGE = [0.65607331] and KGE_PRIME = [0.67480771]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70051668], KGE = [0.65478356] and KGE_PRIME = [0.67258635]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70105617], KGE = [0.65288535] and KGE_PRIME = [0.67061854]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.70097775], KGE = [0.65137786] and KGE_PRIME = [0.67013928]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.7002721], KGE = [0.64914348] and KGE_PRIME = [0.66881849]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69947983], KGE = [0.64681369] and KGE_PRIME = [0.66759259]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69935948], KGE = [0.64479494] and KGE_PRIME = [0.66548231]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69798257], KGE = [0.64279882] and KGE_PRIME = [0.66328769]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69920377], KGE = [0.64192603] and KGE_PRIME = [0.66337415]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6980842], KGE = [0.63947119] and KGE_PRIME = [0.66117169]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69845209], KGE = [0.63821995] and KGE_PRIME = [0.66042261]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69913415], KGE = [0.63708506] and KGE_PRIME = [0.66108335]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69885216], KGE = [0.63599325] and KGE_PRIME = [0.66002102]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69900934], KGE = [0.63398773] and KGE_PRIME = [0.65875093]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69888419], KGE = [0.63296065] and KGE_PRIME = [0.65805379]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69916903], KGE = [0.63216204] and KGE_PRIME = [0.65798031]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69951305], KGE = [0.63124688] and KGE_PRIME = [0.65631474]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6992509], KGE = [0.63042931] and KGE_PRIME = [0.65570823]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69939037], KGE = [0.6292049] and KGE_PRIME = [0.65466554]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69923764], KGE = [0.62817873] and KGE_PRIME = [0.65357889]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69909611], KGE = [0.62708769] and KGE_PRIME = [0.65274784]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69872625], KGE = [0.62628158] and KGE_PRIME = [0.65213255]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69858264], KGE = [0.62556982] and KGE_PRIME = [0.65186063]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6984265], KGE = [0.62474112] and KGE_PRIME = [0.65152435]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.51, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69867838], KGE = [0.62385447] and KGE_PRIME = [0.651202]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69813881], KGE = [0.62288575] and KGE_PRIME = [0.65062586]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6981474], KGE = [0.62220701] and KGE_PRIME = [0.64927418]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6972184], KGE = [0.62071738] and KGE_PRIME = [0.6488029]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6968744], KGE = [0.61995281] and KGE_PRIME = [0.64849632]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 635 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '635', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_635_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69649778], KGE = [0.61939774] and KGE_PRIME = [0.64794434]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.77, Relative - RMSE: 0.41
and Correlations (Pearson, Rscore): (0.64, 0.31)
NSE = [0.30657067], KGE = [0.61786546] and KGE_PRIME = [0.61544274]
R score: 0.31 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.67, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.71, 0.48)
NSE = [0.47918729], KGE = [0.63126375] and KGE_PRIME = [0.67104608]
R score: 0.48 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.64, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.53)
NSE = [0.53181816], KGE = [0.63051995] and KGE_PRIME = [0.68510962]
R score: 0.53 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.56340396], KGE = [0.62292751] and KGE_PRIME = [0.6875332]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58328425], KGE = [0.61769564] and KGE_PRIME = [0.68934122]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59212222], KGE = [0.6113014] and KGE_PRIME = [0.68538524]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.59631362], KGE = [0.60580146] and KGE_PRIME = [0.68099561]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.6020116], KGE = [0.60396894] and KGE_PRIME = [0.67983296]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60734952], KGE = [0.60210294] and KGE_PRIME = [0.67858704]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.6059011], KGE = [0.59540315] and KGE_PRIME = [0.67301187]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60651492], KGE = [0.59251179] and KGE_PRIME = [0.67118994]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.60826983], KGE = [0.58968789] and KGE_PRIME = [0.66957648]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61031629], KGE = [0.5858055] and KGE_PRIME = [0.66818631]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.6130324], KGE = [0.58323471] and KGE_PRIME = [0.66731758]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61250951], KGE = [0.57944482] and KGE_PRIME = [0.66448235]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61245892], KGE = [0.57849227] and KGE_PRIME = [0.66321448]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61230752], KGE = [0.57645583] and KGE_PRIME = [0.66023363]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.6122924], KGE = [0.57322802] and KGE_PRIME = [0.65874889]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61161781], KGE = [0.57251592] and KGE_PRIME = [0.65658463]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61194302], KGE = [0.56965456] and KGE_PRIME = [0.65503074]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61193688], KGE = [0.56831314] and KGE_PRIME = [0.65451687]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61264097], KGE = [0.56669643] and KGE_PRIME = [0.65358772]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61207964], KGE = [0.56395897] and KGE_PRIME = [0.6515697]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61208586], KGE = [0.56112513] and KGE_PRIME = [0.64993935]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61188168], KGE = [0.55911922] and KGE_PRIME = [0.64805421]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61113857], KGE = [0.55602856] and KGE_PRIME = [0.64611428]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.61065287], KGE = [0.55493065] and KGE_PRIME = [0.64520358]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60915321], KGE = [0.55250662] and KGE_PRIME = [0.64348852]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60905087], KGE = [0.5510026] and KGE_PRIME = [0.64309874]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60943552], KGE = [0.55024104] and KGE_PRIME = [0.64270361]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60814435], KGE = [0.5479968] and KGE_PRIME = [0.64060167]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60675451], KGE = [0.54525349] and KGE_PRIME = [0.63862123]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60684029], KGE = [0.54474929] and KGE_PRIME = [0.63764504]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60646363], KGE = [0.54329252] and KGE_PRIME = [0.63681609]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60637243], KGE = [0.5418081] and KGE_PRIME = [0.63601246]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.60611657], KGE = [0.54068042] and KGE_PRIME = [0.63485153]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.61)
NSE = [0.605425], KGE = [0.53887509] and KGE_PRIME = [0.63366051]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60482292], KGE = [0.53734522] and KGE_PRIME = [0.63298363]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60319343], KGE = [0.5355235] and KGE_PRIME = [0.6314123]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60242776], KGE = [0.5340336] and KGE_PRIME = [0.63047202]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60178065], KGE = [0.53274964] and KGE_PRIME = [0.62947616]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60154751], KGE = [0.53156057] and KGE_PRIME = [0.62867166]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.60149077], KGE = [0.53078965] and KGE_PRIME = [0.62822553]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.6001633], KGE = [0.52902513] and KGE_PRIME = [0.62693699]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.59983554], KGE = [0.52787648] and KGE_PRIME = [0.62633443]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.59974454], KGE = [0.52648978] and KGE_PRIME = [0.62562293]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.59909656], KGE = [0.52443999] and KGE_PRIME = [0.624821]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.59860132], KGE = [0.52354847] and KGE_PRIME = [0.6241168]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 640 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '640', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_640_winds_gradients_1D_tl3.nc
PCs loaded from file
28 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.01, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.80, 0.60)
NSE = [0.59802074], KGE = [0.52238119] and KGE_PRIME = [0.62340927]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.69, 0.42)
NSE = [0.41710605], KGE = [0.68556933] and KGE_PRIME = [0.68790097]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56591858], KGE = [0.71290733] and KGE_PRIME = [0.72342266]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.62232639], KGE = [0.71923] and KGE_PRIME = [0.72850361]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.6490786], KGE = [0.71182718] and KGE_PRIME = [0.71770045]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66491845], KGE = [0.70615752] and KGE_PRIME = [0.70792398]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67638968], KGE = [0.70189196] and KGE_PRIME = [0.70423141]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68074438], KGE = [0.69634781] and KGE_PRIME = [0.70314475]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68322757], KGE = [0.68881841] and KGE_PRIME = [0.70219198]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68929872], KGE = [0.68548359] and KGE_PRIME = [0.69658233]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69278488], KGE = [0.68282252] and KGE_PRIME = [0.69167332]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6936964], KGE = [0.67825844] and KGE_PRIME = [0.69109993]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69473812], KGE = [0.67453414] and KGE_PRIME = [0.68608846]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69467845], KGE = [0.67060865] and KGE_PRIME = [0.68333553]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69536595], KGE = [0.66868456] and KGE_PRIME = [0.68155334]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69730588], KGE = [0.66631653] and KGE_PRIME = [0.6815871]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69824348], KGE = [0.66498041] and KGE_PRIME = [0.67756531]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69942728], KGE = [0.66291636] and KGE_PRIME = [0.67758606]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69838518], KGE = [0.65948145] and KGE_PRIME = [0.67592115]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69842757], KGE = [0.65791742] and KGE_PRIME = [0.67478307]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69829699], KGE = [0.65549853] and KGE_PRIME = [0.67290774]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69823505], KGE = [0.65364386] and KGE_PRIME = [0.67258096]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69840585], KGE = [0.65204018] and KGE_PRIME = [0.66947118]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.6985781], KGE = [0.65017389] and KGE_PRIME = [0.66761592]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69849174], KGE = [0.64810559] and KGE_PRIME = [0.66689534]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69849626], KGE = [0.64722936] and KGE_PRIME = [0.66701788]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69877606], KGE = [0.64602127] and KGE_PRIME = [0.66513475]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69871909], KGE = [0.64440712] and KGE_PRIME = [0.66423193]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69826171], KGE = [0.64257073] and KGE_PRIME = [0.66339231]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69835776], KGE = [0.64174542] and KGE_PRIME = [0.6626119]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69771518], KGE = [0.63956314] and KGE_PRIME = [0.66218757]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69752737], KGE = [0.63852979] and KGE_PRIME = [0.66197099]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69701642], KGE = [0.63706767] and KGE_PRIME = [0.66050347]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69723629], KGE = [0.63560366] and KGE_PRIME = [0.6598967]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69708501], KGE = [0.634098] and KGE_PRIME = [0.65921121]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69715004], KGE = [0.63300091] and KGE_PRIME = [0.65945304]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69763269], KGE = [0.63251802] and KGE_PRIME = [0.65848596]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69744282], KGE = [0.63134887] and KGE_PRIME = [0.65717383]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69701977], KGE = [0.62996355] and KGE_PRIME = [0.65563977]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6966792], KGE = [0.62869768] and KGE_PRIME = [0.65514607]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69652918], KGE = [0.62762892] and KGE_PRIME = [0.65389258]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69674952], KGE = [0.62713223] and KGE_PRIME = [0.65289216]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69658031], KGE = [0.62619134] and KGE_PRIME = [0.65242637]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69655333], KGE = [0.62497061] and KGE_PRIME = [0.65166489]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69630938], KGE = [0.62401317] and KGE_PRIME = [0.6515677]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69618527], KGE = [0.62329412] and KGE_PRIME = [0.6509171]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69599321], KGE = [0.62235394] and KGE_PRIME = [0.64979652]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69606237], KGE = [0.62192489] and KGE_PRIME = [0.64909293]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69583346], KGE = [0.62100155] and KGE_PRIME = [0.6483095]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 645 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '645', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_645_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69548311], KGE = [0.62009485] and KGE_PRIME = [0.64787798]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.69, 0.42)
NSE = [0.41779435], KGE = [0.68549883] and KGE_PRIME = [0.68897811]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.56530951], KGE = [0.71220007] and KGE_PRIME = [0.72656347]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61952458], KGE = [0.71636535] and KGE_PRIME = [0.72939132]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.81, 0.65)
NSE = [0.64842579], KGE = [0.71024296] and KGE_PRIME = [0.72074959]
R score: 0.65 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.66)
NSE = [0.66420221], KGE = [0.70658575] and KGE_PRIME = [0.71278528]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.67471536], KGE = [0.70140001] and KGE_PRIME = [0.70860685]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.67892634], KGE = [0.69615631] and KGE_PRIME = [0.70606376]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.68)
NSE = [0.68205656], KGE = [0.68844309] and KGE_PRIME = [0.70433378]
R score: 0.68 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.53, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.68764229], KGE = [0.6842666] and KGE_PRIME = [0.70031305]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69171143], KGE = [0.68193318] and KGE_PRIME = [0.69683938]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69247477], KGE = [0.67719266] and KGE_PRIME = [0.69342389]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.69498339], KGE = [0.67496198] and KGE_PRIME = [0.69009455]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.694042], KGE = [0.67030135] and KGE_PRIME = [0.68677328]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.84, 0.69)
NSE = [0.6942065], KGE = [0.66769119] and KGE_PRIME = [0.68526246]
R score: 0.69 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69581389], KGE = [0.66549629] and KGE_PRIME = [0.68485165]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69776678], KGE = [0.66474934] and KGE_PRIME = [0.68171604]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.6991343], KGE = [0.66242994] and KGE_PRIME = [0.68113178]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.26
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69936844], KGE = [0.65979694] and KGE_PRIME = [0.67906383]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.6980905], KGE = [0.65760721] and KGE_PRIME = [0.67754734]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69762921], KGE = [0.65518268] and KGE_PRIME = [0.67600433]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69840005], KGE = [0.65381881] and KGE_PRIME = [0.67557443]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69820865], KGE = [0.65202851] and KGE_PRIME = [0.67254261]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69844293], KGE = [0.65003885] and KGE_PRIME = [0.67074066]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69815796], KGE = [0.64748536] and KGE_PRIME = [0.67056115]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69806572], KGE = [0.64657581] and KGE_PRIME = [0.66928006]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69815408], KGE = [0.64537528] and KGE_PRIME = [0.66849559]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.6984409], KGE = [0.64393517] and KGE_PRIME = [0.66801809]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.85, 0.70)
NSE = [0.69814018], KGE = [0.64253472] and KGE_PRIME = [0.66754319]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.6983125], KGE = [0.64139154] and KGE_PRIME = [0.66640895]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69806961], KGE = [0.63958017] and KGE_PRIME = [0.66530585]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69716785], KGE = [0.63792914] and KGE_PRIME = [0.66422767]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69651613], KGE = [0.63668291] and KGE_PRIME = [0.66372872]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69680292], KGE = [0.63515903] and KGE_PRIME = [0.66343084]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69695709], KGE = [0.63369301] and KGE_PRIME = [0.66332615]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69738782], KGE = [0.63288895] and KGE_PRIME = [0.66117954]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69773123], KGE = [0.6317879] and KGE_PRIME = [0.66028181]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69671388], KGE = [0.63018837] and KGE_PRIME = [0.65976752]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69672304], KGE = [0.62922919] and KGE_PRIME = [0.65852657]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69695155], KGE = [0.62829143] and KGE_PRIME = [0.65836483]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69615641], KGE = [0.62695145] and KGE_PRIME = [0.65774736]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69600084], KGE = [0.62631808] and KGE_PRIME = [0.65717125]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69637668], KGE = [0.62542044] and KGE_PRIME = [0.65599488]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69633548], KGE = [0.62464857] and KGE_PRIME = [0.65476425]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69642083], KGE = [0.62389315] and KGE_PRIME = [0.65476116]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69678233], KGE = [0.62298093] and KGE_PRIME = [0.65442625]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69615483], KGE = [0.62185845] and KGE_PRIME = [0.65266469]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69588176], KGE = [0.62095404] and KGE_PRIME = [0.65224538]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69569874], KGE = [0.62020739] and KGE_PRIME = [0.65135194]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 650 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '650', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_650_winds_gradients_1D_tl3.nc
PCs loaded from file
21 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.52, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.86, 0.70)
NSE = [0.69562994], KGE = [0.61926061] and KGE_PRIME = [0.65156078]
R score: 0.7 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.83, Relative - RMSE: 0.43
and Correlations (Pearson, Rscore): (0.60, 0.24)
NSE = [0.24421556], KGE = [0.59361017] and KGE_PRIME = [0.59701163]
R score: 0.24 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.37
and Correlations (Pearson, Rscore): (0.67, 0.42)
NSE = [0.42440889], KGE = [0.62620744] and KGE_PRIME = [0.64181965]
R score: 0.42 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.67, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.71, 0.50)
NSE = [0.50385016], KGE = [0.62995924] and KGE_PRIME = [0.64962222]
R score: 0.5 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.65, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.73, 0.54)
NSE = [0.53801121], KGE = [0.6292187] and KGE_PRIME = [0.63673279]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.75, 0.56)
NSE = [0.55690381], KGE = [0.62331298] and KGE_PRIME = [0.63359205]
R score: 0.56 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57187867], KGE = [0.61876768] and KGE_PRIME = [0.62969193]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57912892], KGE = [0.61646176] and KGE_PRIME = [0.62611749]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.62, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.58)
NSE = [0.57922753], KGE = [0.61191003] and KGE_PRIME = [0.6239576]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58448073], KGE = [0.60911626] and KGE_PRIME = [0.6232678]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58591019], KGE = [0.60321696] and KGE_PRIME = [0.61992778]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.58)
NSE = [0.58458784], KGE = [0.59712641] and KGE_PRIME = [0.61609208]
R score: 0.58 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.5875036], KGE = [0.59416811] and KGE_PRIME = [0.61401519]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.5870464], KGE = [0.59155844] and KGE_PRIME = [0.60958453]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58880617], KGE = [0.58885736] and KGE_PRIME = [0.6070178]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58977777], KGE = [0.58614909] and KGE_PRIME = [0.60490697]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58989458], KGE = [0.58341609] and KGE_PRIME = [0.60043368]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58981466], KGE = [0.57955593] and KGE_PRIME = [0.59650193]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59034236], KGE = [0.57833687] and KGE_PRIME = [0.59594716]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58801351], KGE = [0.5743811] and KGE_PRIME = [0.59170718]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.58938552], KGE = [0.57203103] and KGE_PRIME = [0.59199037]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59090859], KGE = [0.5711988] and KGE_PRIME = [0.59178121]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.59)
NSE = [0.59038037], KGE = [0.56981981] and KGE_PRIME = [0.59045851]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59210318], KGE = [0.56890696] and KGE_PRIME = [0.58953694]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59132613], KGE = [0.56742026] and KGE_PRIME = [0.58711202]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59092287], KGE = [0.56540994] and KGE_PRIME = [0.58643407]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59062659], KGE = [0.56439503] and KGE_PRIME = [0.58634331]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58932615], KGE = [0.56153227] and KGE_PRIME = [0.58534074]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58881616], KGE = [0.55919261] and KGE_PRIME = [0.58387106]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58965583], KGE = [0.55849716] and KGE_PRIME = [0.58443506]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59037102], KGE = [0.55799662] and KGE_PRIME = [0.58366492]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59027551], KGE = [0.55729862] and KGE_PRIME = [0.58259333]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58986056], KGE = [0.55608761] and KGE_PRIME = [0.58181183]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.59016413], KGE = [0.55543303] and KGE_PRIME = [0.58146321]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58934096], KGE = [0.55419734] and KGE_PRIME = [0.58042302]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58921782], KGE = [0.55298899] and KGE_PRIME = [0.57976072]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58975247], KGE = [0.55210758] and KGE_PRIME = [0.57967383]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58916064], KGE = [0.5503755] and KGE_PRIME = [0.57962825]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58844181], KGE = [0.54867328] and KGE_PRIME = [0.5791605]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58821384], KGE = [0.54773443] and KGE_PRIME = [0.57845394]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58881597], KGE = [0.54732765] and KGE_PRIME = [0.57789623]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58869902], KGE = [0.54640095] and KGE_PRIME = [0.576412]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58870146], KGE = [0.54546527] and KGE_PRIME = [0.57640423]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58813484], KGE = [0.54389359] and KGE_PRIME = [0.57539429]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58779847], KGE = [0.54321238] and KGE_PRIME = [0.57471089]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58740365], KGE = [0.54200246] and KGE_PRIME = [0.57402078]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58701029], KGE = [0.54071886] and KGE_PRIME = [0.57319078]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58640523], KGE = [0.53962667] and KGE_PRIME = [0.57150764]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58680375], KGE = [0.53859762] and KGE_PRIME = [0.57155282]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 655 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '655', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_655_winds_gradients_1D_tl3.nc
PCs loaded from file
25 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.79, 0.59)
NSE = [0.58649367], KGE = [0.53805909] and KGE_PRIME = [0.57043659]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.76, Relative - RMSE: 0.40
and Correlations (Pearson, Rscore): (0.65, 0.33)
NSE = [0.32893756], KGE = [0.62214977] and KGE_PRIME = [0.61504513]
R score: 0.33 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.67, Relative - RMSE: 0.35
and Correlations (Pearson, Rscore): (0.71, 0.48)
NSE = [0.48388005], KGE = [0.64077323] and KGE_PRIME = [0.6783105]
R score: 0.48 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.63, Relative - RMSE: 0.33
and Correlations (Pearson, Rscore): (0.74, 0.54)
NSE = [0.5436647], KGE = [0.63758096] and KGE_PRIME = [0.69213775]
R score: 0.54 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.32
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57282512], KGE = [0.63516093] and KGE_PRIME = [0.69511403]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.60, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.58945661], KGE = [0.63043179] and KGE_PRIME = [0.69322153]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.77, 0.59)
NSE = [0.59493226], KGE = [0.62129729] and KGE_PRIME = [0.68775853]
R score: 0.59 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.59, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.60)
NSE = [0.60202703], KGE = [0.61718045] and KGE_PRIME = [0.68695743]
R score: 0.6 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 8 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.78, 0.61)
NSE = [0.60700843], KGE = [0.6133709] and KGE_PRIME = [0.68539781]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 9 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 9}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 8)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 9 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.6100027], KGE = [0.61218311] and KGE_PRIME = [0.68415025]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 10 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 10}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 9)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 10 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.61)
NSE = [0.61333834], KGE = [0.61015547] and KGE_PRIME = [0.68302636]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 11 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 11}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 10)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 11 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61618153], KGE = [0.60655526] and KGE_PRIME = [0.68191729]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 12 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 12}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 11)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 12 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61935084], KGE = [0.60543364] and KGE_PRIME = [0.67989504]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 13 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 13}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 12)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 13 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61972697], KGE = [0.60074724] and KGE_PRIME = [0.67771083]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 14 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 14}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 13)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 14 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62151651], KGE = [0.59796615] and KGE_PRIME = [0.67585474]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 15 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 15}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 14)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 15 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62318904], KGE = [0.59464183] and KGE_PRIME = [0.67415768]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 16 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 16}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 15)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 16 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62219567], KGE = [0.59178026] and KGE_PRIME = [0.67222636]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 17 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 17}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 16)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 17 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62170183], KGE = [0.58944627] and KGE_PRIME = [0.66911299]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 18 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 18}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 17)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 18 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.6218299], KGE = [0.58622534] and KGE_PRIME = [0.66820902]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 19 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 19}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 18)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 19 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62249055], KGE = [0.58486844] and KGE_PRIME = [0.66646838]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 20 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 20}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 19)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 20 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62224225], KGE = [0.5822738] and KGE_PRIME = [0.66403595]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 21 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 21}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 20)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 21 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62200825], KGE = [0.57998073] and KGE_PRIME = [0.66268314]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 22 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 22}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 21)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 22 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62057035], KGE = [0.57732496] and KGE_PRIME = [0.66046524]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 23 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 23}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 22)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 23 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62072067], KGE = [0.57591601] and KGE_PRIME = [0.65922414]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 24 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 24}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 23)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 24 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62097705], KGE = [0.57406871] and KGE_PRIME = [0.65760401]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 25 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 25}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 24)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 25 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.62039324], KGE = [0.57409373] and KGE_PRIME = [0.65679513]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 26 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 26}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 25)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 26 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.62033503], KGE = [0.57147094] and KGE_PRIME = [0.65587801]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 27 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 27}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 26)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 27 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.6197994], KGE = [0.56925889] and KGE_PRIME = [0.65460917]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 28 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 28}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 27)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 28 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61841365], KGE = [0.56560186] and KGE_PRIME = [0.65267496]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 29 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 29}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 28)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 29 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61741343], KGE = [0.56266099] and KGE_PRIME = [0.65143958]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 30 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 30}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 29)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 30 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.57, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61784034], KGE = [0.5617175] and KGE_PRIME = [0.65050896]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 31 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 31}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 30)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 31 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.80, 0.62)
NSE = [0.61603068], KGE = [0.56044825] and KGE_PRIME = [0.64881194]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 32 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 32}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 31)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 32 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61568549], KGE = [0.55851318] and KGE_PRIME = [0.64770319]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 33 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 33}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 32)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 33 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61575898], KGE = [0.55731439] and KGE_PRIME = [0.64683715]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 34 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 34}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 33)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 34 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61642527], KGE = [0.55633369] and KGE_PRIME = [0.64667366]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 35 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 35}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 34)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 35 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.6156762], KGE = [0.55523842] and KGE_PRIME = [0.64537164]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 36 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 36}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 35)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 36 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.62)
NSE = [0.61500076], KGE = [0.55312712] and KGE_PRIME = [0.64449672]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 37 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 37}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 36)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 37 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61494746], KGE = [0.55147035] and KGE_PRIME = [0.64344534]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 38 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 38}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 37)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 38 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61398849], KGE = [0.54992685] and KGE_PRIME = [0.64231239]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 39 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 39}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 38)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 39 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61328215], KGE = [0.54852425] and KGE_PRIME = [0.641216]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 40 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 40}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 39)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 40 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.6118014], KGE = [0.54675567] and KGE_PRIME = [0.63981668]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 41 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 41}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 40)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 41 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61221636], KGE = [0.54633298] and KGE_PRIME = [0.63892669]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 42 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 42}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 41)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 42 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61155147], KGE = [0.54501167] and KGE_PRIME = [0.63845157]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 43 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 43}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 42)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 43 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.30
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61063409], KGE = [0.54321865] and KGE_PRIME = [0.63757603]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 44 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 44}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 43)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 44 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.60987895], KGE = [0.54129114] and KGE_PRIME = [0.63654645]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 45 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 45}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 44)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 45 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.61043331], KGE = [0.54089508] and KGE_PRIME = [0.63617088]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 46 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 46}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 45)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 46 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.60968332], KGE = [0.5394524] and KGE_PRIME = [0.63515186]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 47 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 47}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 46)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 47 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.6095749], KGE = [0.53870715] and KGE_PRIME = [0.63440428]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 48 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 48}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 47)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 48 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.60902806], KGE = [0.5376322] and KGE_PRIME = [0.63380774]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 49 in site 660 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 49}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 48)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '660', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_660_winds_gradients_1D_tl3.nc
PCs loaded from file
27 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 49 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.81, 0.61)
NSE = [0.60819896], KGE = [0.53669994] and KGE_PRIME = [0.63306649]
R score: 0.61 -- in TEST data
---------------------------------------------------------
Experiment 1 in site 665 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 1}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 0)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '665', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_665_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 1 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.72, Relative - RMSE: 0.36
and Correlations (Pearson, Rscore): (0.69, 0.41)
NSE = [0.4124722], KGE = [0.68181611] and KGE_PRIME = [0.68616142]
R score: 0.41 -- in TEST data
---------------------------------------------------------
Experiment 2 in site 665 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 2}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 1)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '665', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_665_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 2 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.61, Relative - RMSE: 0.31
and Correlations (Pearson, Rscore): (0.76, 0.57)
NSE = [0.57035829], KGE = [0.71363312] and KGE_PRIME = [0.73138806]
R score: 0.57 -- in TEST data
---------------------------------------------------------
Experiment 3 in site 665 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 3}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 2)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '665', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_665_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 3 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.58, Relative - RMSE: 0.29
and Correlations (Pearson, Rscore): (0.79, 0.62)
NSE = [0.61893673], KGE = [0.71514066] and KGE_PRIME = [0.72661446]
R score: 0.62 -- in TEST data
---------------------------------------------------------
Experiment 4 in site 665 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 4}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 3)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '665', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_665_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 4 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.56, Relative - RMSE: 0.28
and Correlations (Pearson, Rscore): (0.80, 0.64)
NSE = [0.64434909], KGE = [0.70433021] and KGE_PRIME = [0.72172314]
R score: 0.64 -- in TEST data
---------------------------------------------------------
Experiment 5 in site 665 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 5}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 4)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '665', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_665_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 5 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.55, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.81, 0.66)
NSE = [0.6575419], KGE = [0.69954743] and KGE_PRIME = [0.71567199]
R score: 0.66 -- in TEST data
---------------------------------------------------------
Experiment 6 in site 665 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 6}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 5)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '665', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_665_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 6 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.82, 0.67)
NSE = [0.66806149], KGE = [0.69435546] and KGE_PRIME = [0.71231273]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 7 in site 665 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 7}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 6)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '665', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_665_winds_gradients_1D_tl3.nc
PCs loaded from file
22 PCs (0.98 expl. variance) will be used to train the model!!
KNN regression with 7 neighbors...
Data comparison is -- BIAS: 0.00, SI: 0.54, Relative - RMSE: 0.27
and Correlations (Pearson, Rscore): (0.83, 0.67)
NSE = [0.67429996], KGE = [0.68937973] and KGE_PRIME = [0.70436927]
R score: 0.67 -- in TEST data
---------------------------------------------------------
Experiment 8 in site 665 ......
pca_params = {'calculate_gradient': True, 'winds': True, 'time_lapse': 3, 'time_resample': '1D', 'region': ('local', (2.5, 2.5))}
knn_model_params = {'train_size': 0.7, 'percentage_PCs': 0.98, 'k_neighbors': 8}
and iteration with indexes = (0, 0, 0, 0, 0, 0, 0, 7)
time resample 1D------------------------------------------
/home/javitausia/Documentos/geocean-nz-ss/data/pcs ['local_2.5_-2.5', '665', 'winds', 'gradients', '1D', 'tl3']
FILE /home/javitausia/Documentos/geocean-nz-ss/data/pcs/local_2.5_-2.5_665_winds_gradients_1D_tl3.nc
PCs loaded from file
print("Done")
# finally, we can save the results, using the following function
def save_final_results(to_save_name: str =
'../data/statistics/experiments/experiment_linear_final.nc'):
"""
This function saves the results in netCDF4 format
"""
sites_datasets = [] # save all xarray.Dataset's in sites
for site,exp_metrics_site in zip(experiment.ss_sites,exp_parameters):
site_metrics = {}
for im,metric in enumerate(final_stats):
site_metrics[metric] = (
('grad','winds','tlapse','tresample','region','tsize','perpcs'),
exp_metrics_site[:,:,:,:,:,:,:,im])
sites_datasets.append(xr.Dataset(site_metrics).expand_dims(
{'site':[site]}
))
experiment_metrics = xr.concat(sites_datasets,dim='site')
# experiment_metrics.to_netcdf(to_save_name)
return experiment_metrics
# save_final_results('../data/statistics/experiments/jeje.nc')
# finally, we can save the results, using the following function
def save_final_results_knn(to_save_name: str =
'../data/statistics/experiments/experiment_linear_final.nc'):
"""
This function saves the results in netCDF4 format
"""
sites_datasets = [] # save all xarray.Dataset's in sites
for site,exp_metrics_site in zip(experiment.ss_sites,exp_parameters):
site_metrics = {}
for im,metric in enumerate(final_stats):
site_metrics[metric] = (
('grad','winds','tlapse','tresample','region','tsize','perpcs', 'k_neighbors'),
exp_metrics_site[:,:,:,:,:,:,:,:,im])
sites_datasets.append(xr.Dataset(site_metrics).expand_dims(
{'site':[site]}
))
experiment_metrics = xr.concat(sites_datasets,dim='site')
experiment_metrics.to_netcdf(to_save_name)
return experiment_metrics
save_final_results_knn('../data/statistics/experiments/test_knn_ext.nc')